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Artificial Intelligence And Deep Learning In Pathology

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Artificial Intelligence and Deep Learning in Pathology

Artificial Intelligence and Deep Learning in Pathology Book
Author : Stanley Cohen
Publisher : Elsevier
Release : 2020-06
ISBN : 9780323675383
Language : En, Es, Fr & De

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Book Description :

Recent advances in computational algorithms, along with the advent of whole slide imaging as a platform for embedding artificial intelligence (AI), are transforming pattern recognition and image interpretation for diagnosis and prognosis. Yet most pathologists have just a passing knowledge of data mining, machine learning, and AI, and little exposure to the vast potential of these powerful new tools for medicine in general and pathology in particular. In Artificial Intelligence and Deep Learning in Pathology, Dr. Stanley Cohen covers the nuts and bolts of all aspects of machine learning, up to and including AI, bringing familiarity and understanding to pathologists at all levels of experience. Focuses heavily on applications in medicine, especially pathology, making unfamiliar material accessible and avoiding complex mathematics whenever possible. Covers digital pathology as a platform for primary diagnosis and augmentation via deep learning, whole slide imaging for 2D and 3D analysis, and general principles of image analysis and deep learning. Discusses and explains recent accomplishments such as algorithms used to diagnose skin cancer from photographs, AI-based platforms developed to identify lesions of the retina, using computer vision to interpret electrocardiograms, identifying mitoses in cancer using learning algorithms vs. signal processing algorithms, and many more.

Artificial Intelligence and Deep Learning in Pathology E Book

Artificial Intelligence and Deep Learning in Pathology E Book Book
Author : Stanley Cohen
Publisher : Elsevier Health Sciences
Release : 2020-06-02
ISBN : 0323675379
Language : En, Es, Fr & De

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Book Description :

Recent advances in computational algorithms, along with the advent of whole slide imaging as a platform for embedding artificial intelligence (AI), are transforming pattern recognition and image interpretation for diagnosis and prognosis. Yet most pathologists have just a passing knowledge of data mining, machine learning, and AI, and little exposure to the vast potential of these powerful new tools for medicine in general and pathology in particular. In Artificial Intelligence and Deep Learning in Pathology, Dr. Stanley Cohen covers the nuts and bolts of all aspects of machine learning, up to and including AI, bringing familiarity and understanding to pathologists at all levels of experience. Focuses heavily on applications in medicine, especially pathology, making unfamiliar material accessible and avoiding complex mathematics whenever possible. Covers digital pathology as a platform for primary diagnosis and augmentation via deep learning, whole slide imaging for 2D and 3D analysis, and general principles of image analysis and deep learning. Discusses and explains recent accomplishments such as algorithms used to diagnose skin cancer from photographs, AI-based platforms developed to identify lesions of the retina, using computer vision to interpret electrocardiograms, identifying mitoses in cancer using learning algorithms vs. signal processing algorithms, and many more.

Artificial Intelligence and Machine Learning for Digital Pathology

Artificial Intelligence and Machine Learning for Digital Pathology Book
Author : Andreas Holzinger
Publisher : Springer Nature
Release : 2020-12-02
ISBN : 3030504026
Language : En, Es, Fr & De

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Book Description :

Download Artificial Intelligence and Machine Learning for Digital Pathology book written by Andreas Holzinger, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Computational Pathology

Computational Pathology Book
Author : Thomas J. Fuchs
Publisher : Unknown
Release : 2010
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download Computational Pathology book written by Thomas J. Fuchs, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Towards Integrative Machine Learning and Knowledge Extraction

Towards Integrative Machine Learning and Knowledge Extraction Book
Author : Andreas Holzinger,Randy Goebel,Massimo Ferri,Vasile Palade
Publisher : Springer
Release : 2017-10-27
ISBN : 3319697757
Language : En, Es, Fr & De

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Book Description :

The BIRS Workshop “Advances in Interactive Knowledge Discovery and Data Mining in Complex and Big Data Sets” (15w2181), held in July 2015 in Banff, Canada, was dedicated to stimulating a cross-domain integrative machine-learning approach and appraisal of “hot topics” toward tackling the grand challenge of reaching a level of useful and useable computational intelligence with a focus on real-world problems, such as in the health domain. This encompasses learning from prior data, extracting and discovering knowledge, generalizing the results, fighting the curse of dimensionality, and ultimately disentangling the underlying explanatory factors in complex data, i.e., to make sense of data within the context of the application domain. The workshop aimed to contribute advancements in promising novel areas such as at the intersection of machine learning and topological data analysis. History has shown that most often the overlapping areas at intersections of seemingly disparate fields are key for the stimulation of new insights and further advances. This is particularly true for the extremely broad field of machine learning.

Deep Learning for Cancer Diagnosis

Deep Learning for Cancer Diagnosis Book
Author : Utku Kose
Publisher : Springer Nature
Release : 2020-12-02
ISBN : 9811563217
Language : En, Es, Fr & De

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Book Description :

Download Deep Learning for Cancer Diagnosis book written by Utku Kose, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Artificial Intelligence in Medicine

Artificial Intelligence in Medicine Book
Author : Lei Xing,Maryellen L. Giger,James K Min
Publisher : Academic Press
Release : 2020-09-16
ISBN : 0128212586
Language : En, Es, Fr & De

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Book Description :

Artificial Intelligence Medicine: Technical Basis and Clinical Applications presents a comprehensive overview of the field, ranging from its history and technical foundations, to specific clinical applications and finally to prospects. Artificial Intelligence (AI) is expanding across all domains at a breakneck speed. Medicine, with the availability of large multidimensional datasets, lends itself to strong potential advancement with the appropriate harnessing of AI. The integration of AI can occur throughout the continuum of medicine: from basic laboratory discovery to clinical application and healthcare delivery. Integrating AI within medicine has been met with both excitement and scepticism. By understanding how AI works, and developing an appreciation for both limitations and strengths, clinicians can harness its computational power to streamline workflow and improve patient care. It also provides the opportunity to improve upon research methodologies beyond what is currently available using traditional statistical approaches. On the other hand, computers scientists and data analysts can provide solutions, but often lack easy access to clinical insight that may help focus their efforts. This book provides vital background knowledge to help bring these two groups together, and to engage in more streamlined dialogue to yield productive collaborative solutions in the field of medicine. Provides history and overview of artificial intelligence, as narrated by pioneers in the field Discusses broad and deep background and updates on recent advances in both medicine and artificial intelligence that enabled the application of artificial intelligence Addresses the ever-expanding application of this novel technology and discusses some of the unique challenges associated with such an approach

PRICAI 2018 Trends in Artificial Intelligence

PRICAI 2018  Trends in Artificial Intelligence Book
Author : Xin Geng,Byeong-Ho Kang
Publisher : Springer
Release : 2018-07-30
ISBN : 3319973045
Language : En, Es, Fr & De

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Book Description :

This two-volume set, LNAI 11012 and 11013, constitutes the thoroughly refereed proceedings of the 15th Pacific Rim Conference on Artificial Intelligence, PRICAI 2018, held in Nanjing, China, in August 2018. The 82 full papers and 58 short papers presented in these volumes were carefully reviewed and selected from 382 submissions. PRICAI covers a wide range of topics such as AI theories, technologies and their applications in the areas of social and economic importance for countries in the Pacific Rim.

Evolutionary Computation Machine Learning and Data Mining in Bioinformatics

Evolutionary Computation  Machine Learning and Data Mining in Bioinformatics Book
Author : Clara Pizzuti,Marylyn D. Ritchie,Mario Giacobini
Publisher : Springer Science & Business Media
Release : 2010-03-25
ISBN : 3642122108
Language : En, Es, Fr & De

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Book Description :

The ?eld of bioinformatics has two main objectives: the creation and main- nance of biological databases, and the discovery of knowledge from life sciences datainordertounravelthemysteriesofbiologicalfunction,leadingtonewdrugs andtherapiesforhumandisease. Life sciencesdatacomeinthe formofbiological sequences, structures, pathways, or literature. One major aspect of discovering biological knowledge is to search, predict, or model speci?c information in a given dataset in order to generate new interesting knowledge. Computer science methods such as evolutionary computation, machine learning, and data mining all have a great deal to o?er the ?eld of bioinformatics. The goal of the 8th - ropean Conference on Evolutionary Computation, Machine Learning, and Data Mining in Bioinformatics (EvoBIO 2010) was to bring together experts in these ?elds in order to discuss new and novel methods for tackling complex biological problems. The 8th EvoBIO conference was held in Istanbul, Turkey during April 7–9, 2010attheIstanbulTechnicalUniversity. EvoBIO2010washeldjointlywiththe 13th European Conference on Genetic Programming (EuroGP 2010), the 10th European Conference on Evolutionary Computation in Combinatorial Opti- sation (EvoCOP 2010), and the conference on the applications of evolutionary computation,EvoApplications. Collectively,the conferences areorganizedunder the name Evo* (www. evostar. org). EvoBIO, held annually as a workshop since 2003, became a conference in 2007 and it is now the premiere European event for those interested in the interface between evolutionary computation, machine learning, data mining, bioinformatics, and computational biology.

Machine Learning in Medical Imaging

Machine Learning in Medical Imaging Book
Author : Mingxia Liu
Publisher : Springer Nature
Release : 2020-12-02
ISBN : 3030598616
Language : En, Es, Fr & De

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Book Description :

Download Machine Learning in Medical Imaging book written by Mingxia Liu, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Artificial Intelligence in Medicine

Artificial Intelligence in Medicine Book
Author : David Riaño,Szymon Wilk,Annette ten Teije
Publisher : Springer
Release : 2019-06-19
ISBN : 303021642X
Language : En, Es, Fr & De

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Book Description :

This book constitutes the refereed proceedings of the 17th Conference on Artificial Intelligence in Medicine, AIME 2019, held in Poznan, Poland, in June 2019. The 22 revised full and 31 short papers presented were carefully reviewed and selected from 134 submissions. The papers are organized in the following topical sections: deep learning; simulation; knowledge representation; probabilistic models; behavior monitoring; clustering, natural language processing, and decision support; feature selection; image processing; general machine learning; and unsupervised learning.

Artificial Intelligence Systems Based on Hybrid Neural Networks

Artificial Intelligence Systems Based on Hybrid Neural Networks Book
Author : Michael Zgurovsky,Victor Sineglazov,Elena Chumachenko
Publisher : Springer Nature
Release : 2020-09-03
ISBN : 303048453X
Language : En, Es, Fr & De

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Book Description :

This book is intended for specialists as well as students and graduate students in the field of artificial intelligence, robotics and information technology. It is will also appeal to a wide range of readers interested in expanding the functionality of artificial intelligence systems. One of the pressing problems of modern artificial intelligence systems is the development of integrated hybrid systems based on deep learning. Unfortunately, there is currently no universal methodology for developing topologies of hybrid neural networks (HNN) using deep learning. The development of such systems calls for the expansion of the use of neural networks (NS) for solving recognition, classification and optimization problems. As such, it is necessary to create a unified methodology for constructing HNN with a selection of models of artificial neurons that make up HNN, gradually increasing the complexity of their structure using hybrid learning algorithms.

Artificial Intelligence in Medicine

Artificial Intelligence in Medicine Book
Author : Carlo Combi,Yuval Shahar,Ameen Abu-Hanna
Publisher : Springer Science & Business Media
Release : 2009-07-13
ISBN : 3642029760
Language : En, Es, Fr & De

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Book Description :

This book constitutes the refereed proceedings of the 12th Conference on Artificial Intelligence in Medicine in Europe, AIME 2009, held in Verona, Italy in July 2009. The 24 revised long papers and 36 revised short papers presented together with 2 invited talks were carefully reviewed and selected from 140 submissions. The papers are organized in topical sections on agent-based systems, temporal data mining, machine learning and knowledge discovery, text mining, natural language processing and generation, ontologies, decision support systems, applications of AI-based image processing techniques, protocols and guidelines, as well as workflow systems.

Advances in Intelligent Analysis of Medical Data and Decision Support Systems

Advances in Intelligent Analysis of Medical Data and Decision Support Systems Book
Author : Roumen Kountchev,Barna Iantovics
Publisher : Springer
Release : 2013-02-11
ISBN : 3319000292
Language : En, Es, Fr & De

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Book Description :

This volume is a result of the fruitful and vivid discussions during the MedDecSup'2012 International Workshop bringing together a relevant body of knowledge, and new developments in the increasingly important field of medical informatics. This carefully edited book presents new ideas aimed at the development of intelligent processing of various kinds of medical information and the perfection of the contemporary computer systems for medical decision support. The book presents advances of the medical information systems for intelligent archiving, processing, analysis and search-by-content which will improve the quality of the medical services for every patient and of the global healthcare system. The book combines in a synergistic way theoretical developments with the practicability of the approaches developed and presents the last developments and achievements in medical informatics to a broad range of readers: engineers, mathematicians, physicians, and PhD students.

Machine Learning in Medical Imaging

Machine Learning in Medical Imaging Book
Author : Kenji Suzuki,Fei Wang,Dinggang Shen,Pingkun Yan
Publisher : Springer
Release : 2011-09-25
ISBN : 3642243193
Language : En, Es, Fr & De

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Book Description :

This book constitutes the refereed proceedings of the Second International Workshop on Machine Learning in Medical Imaging, MLMI 2011, held in conjunction with MICCAI 2011, in Toronto, Canada, in September 2011. The 44 revised full papers presented were carefully reviewed and selected from 74 submissions. The papers focus on major trends in machine learning in medical imaging aiming to identify new cutting-edge techniques and their use in medical imaging.

Machine Learning in Medical Imaging

Machine Learning in Medical Imaging Book
Author : Fei Wang,Dinggang Shen,Pingkun Yan,Kenji Suzuki
Publisher : Springer
Release : 2012-11-13
ISBN : 3642354289
Language : En, Es, Fr & De

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Book Description :

This book constitutes the refereed proceedings of the Third International Workshop on Machine Learning in Medical Imaging, MLMI 2012, held in conjunction with MICCAI 2012, in Nice, France, in October 2012. The 33 revised full papers presented were carefully reviewed and selected from 67 submissions. The main aim of this workshop is to help advance the scientific research within the broad field of machine learning in medical imaging. It focuses on major trends and challenges in this area, and it presents work aimed to identify new cutting-edge techniques and their use in medical imaging.

Machine Learning for Health Informatics

Machine Learning for Health Informatics Book
Author : Andreas Holzinger
Publisher : Springer
Release : 2016-12-09
ISBN : 3319504789
Language : En, Es, Fr & De

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Book Description :

Machine learning (ML) is the fastest growing field in computer science, and Health Informatics (HI) is amongst the greatest application challenges, providing future benefits in improved medical diagnoses, disease analyses, and pharmaceutical development. However, successful ML for HI needs a concerted effort, fostering integrative research between experts ranging from diverse disciplines from data science to visualization. Tackling complex challenges needs both disciplinary excellence and cross-disciplinary networking without any boundaries. Following the HCI-KDD approach, in combining the best of two worlds, it is aimed to support human intelligence with machine intelligence. This state-of-the-art survey is an output of the international HCI-KDD expert network and features 22 carefully selected and peer-reviewed chapters on hot topics in machine learning for health informatics; they discuss open problems and future challenges in order to stimulate further research and international progress in this field.

Deep Learning for Medical Image Analysis

Deep Learning for Medical Image Analysis Book
Author : S. Kevin Zhou,Hayit Greenspan,Dinggang Shen
Publisher : Academic Press
Release : 2017-01-18
ISBN : 0128104090
Language : En, Es, Fr & De

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Book Description :

Deep learning is providing exciting solutions for medical image analysis problems and is seen as a key method for future applications. This book gives a clear understanding of the principles and methods of neural network and deep learning concepts, showing how the algorithms that integrate deep learning as a core component have been applied to medical image detection, segmentation and registration, and computer-aided analysis, using a wide variety of application areas. Deep Learning for Medical Image Analysis is a great learning resource for academic and industry researchers in medical imaging analysis, and for graduate students taking courses on machine learning and deep learning for computer vision and medical image computing and analysis. Covers common research problems in medical image analysis and their challenges Describes deep learning methods and the theories behind approaches for medical image analysis Teaches how algorithms are applied to a broad range of application areas, including Chest X-ray, breast CAD, lung and chest, microscopy and pathology, etc. Includes a Foreword written by Nicholas Ayache

Machine Learning in Medical Imaging

Machine Learning in Medical Imaging Book
Author : Guorong Wu,Daoqiang Zhang,Luping Zhou
Publisher : Springer
Release : 2014-09-05
ISBN : 3319105817
Language : En, Es, Fr & De

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Book Description :

This book constitutes the refereed proceedings of the 5th International Workshop on Machine Learning in Medical Imaging, MLMI 2014, held in conjunction with the International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2014, in Cambridge, MA, USA, in September 2014. The 40 contributions included in this volume were carefully reviewed and selected from 70 submissions. They focus on major trends and challenges in the area of machine learning in medical imaging and aim to identify new cutting-edge techniques and their use in medical imaging.

Advances in Machine Learning I

Advances in Machine Learning I Book
Author : Jacek Koronacki,Zbigniew W Ras,Slawomir T. Wierzchon
Publisher : Springer Science & Business Media
Release : 2010-02-04
ISBN : 3642051766
Language : En, Es, Fr & De

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Book Description :

Professor Richard S. Michalski passed away on September 20, 2007. Once we learned about his untimely death we immediately realized that we would no longer have with us a truly exceptional scholar and researcher who for several decades had been inf- encing the work of numerous scientists all over the world - not only in his area of expertise, notably machine learning, but also in the broadly understood areas of data analysis, data mining, knowledge discovery and many others. In fact, his influence was even much broader due to his creative vision, integrity, scientific excellence and exceptionally wide intellectual horizons which extended to history, political science and arts. Professor Michalski’s death was a particularly deep loss to the whole Polish sci- tific community and the Polish Academy of Sciences in particular. After graduation, he began his research career at the Institute of Automatic Control, Polish Academy of Science in Warsaw. In 1970 he left his native country and hold various prestigious positions at top US universities. His research gained impetus and he soon established himself as a world authority in his areas of interest – notably, he was widely cons- ered a father of machine learning.