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Histopathological Image Analysis in Medical Decision Making

. Histopathological Image Analysis in Medical Decision Making provides emerging research exploring the theoretical and practical applications of image;

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Advancement of Machine Intelligence in Interactive Medical Image Analysis

in processing, analysing, and utilising all aspects of advanced computational intelligence in medical decision-making based on medical imaging.;

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Advancement of Machine Intelligence in Interactive Medical Image Analysis

in processing, analysing, and utilising all aspects of advanced computational intelligence in medical decision-making based on medical imaging.;

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Intelligent Learning for Computer Vision

of medical science like histopathological image analysis, cancer taxonomy, use of deep learning architecture in dental care, and many more;

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Medical Content-Based Retrieval for Clinical Decision Support

This book constitutes the refereed proceedings of the Third MICCAI Workshop on Medical Content-Based Retrieval for Clinical Decision;

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Modeling in Medical Decision Making

Medical decision making has evolved in recent years, as more complex problems are being faced and addressed based on increasingly large;

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Deep Learning Techniques for Biomedical and Health Informatics

improve clinical decision-making Provides detailed coverage of Deep Learning for medical image processing, including optimizing medical;

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Advances in Spatial Analysis and Decision Making: Proceedings of the ISPRS Workshop on Spatial Analysis and Decision Making

presented at the ISPRS Workshop on Spatial Analysis and Decision Making in Hong Kong in 2003. It covers topics such as image-based spatial analysis;

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Medical Image Understanding and Analysis

This book constitutes the refereed proceedings of the 22st Annual Conference on Medical Image Understanding and Analysis, MIUA 2018, held;

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Medical Image Analysis Methods

succinctly explain them would be an invaluable resource to have. Medical Image Analysis Methods is that resource. It is an essential reference;

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Decision Making In Health & Medicine 2Nd

Decision making in health care involves consideration of a complex set of diagnostic, therapeutic and prognostic uncertainties. Medical;

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Deep Learning Models for Medical Imaging

healthcare using two different case studies: a) cytology image analysis and b) coronavirus (COVID-19) prediction, screening, and decision-making;

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Artificial Intelligence in Decision Support Systems for Diagnosis in Medical Imaging

complicate their decision-making. As such, intelligent decision support systems have become a vital element in medical-image-based diagnosis and;

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Medical Image Analysis and Informatics

almost every medical imaging system. Medical Image Analysis and Informatics demonstrates how quantitative analysis becomes possible by the;

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Soft Computing Based Medical Image Analysis

Soft Computing Based Medical Image Analysis presents the foremost techniques of soft computing in medical image analysis and processing;

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Deep Learning for Medical Image Analysis

Deep learning is providing exciting solutions for medical image analysis problems and is seen as a key method for future applications. This;

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Jewish Guide to Practical Medical Decision-Making

, Jewish Guide to Practical Medical Decision-Making seeks to remedy that by presenting the most contemporary medical information and rabbinic;

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Medical Decision Making 2nd Edition

systems for electronic medical record systems. New to this edition is how medical decision making ideas are being incorporated into clinical;

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Dose, Benefit, and Risk in Medical Imaging

This timely overview of dose, benefit, and risk in medical imaging explains to readers how to apply this information for informed decision;

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Dose, Benefit, and Risk in Medical Imaging

This timely overview of dose, benefit, and risk in medical imaging explains to readers how to apply this information for informed decision;

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Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 Part I

feature selection; deep learning in medical imaging; applications of machine learning; segmentation; cell image analysis; Part III: registration;

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Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 7-21, 2016, Proceedings, Part II

feature selection; deep learning in medical imaging; applications of machine learning; segmentation; cell image analysis; Part III: registration;

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Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2016 Part III

feature selection; deep learning in medical imaging; applications of machine learning; segmentation; cell image analysis; Part III: registration;

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Decision Forests for Computer Vision and Medical Image Analysis

diverse set of image and video analysis tasks; investigates both the theoretical foundations and the practical implementation of decision forests;

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Decision Forests for Computer Vision and Medical Image Analysis

diverse set of image and video analysis tasks; investigates both the theoretical foundations and the practical implementation of decision forests;

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Computational Vision and Medical Image Processing IV

, modal analyses, stochastic methods, principal and independent components analysis and distribution models. Computational Vision and Medical;

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Advanced Machine Vision Paradigms for Medical Image Analysis

assisted diagnosis, image guided radiation therapy, landmark detection, imaging genomics, and brain connectomics. Medical image analysis and;

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