Machine Learning in Medicine

6, p. 24454, Apr. 2016. 11. Z. Akkus, A. Boonrod, M. Stan, R. Castro, and B. J. Erickson, “Reduction of thyroid nodule biopsies using deep learning,” Proc. SPIE Medical Imaging, 2019, Image Processing, vol. 10949-31, in press. 12.

Machine Learning in Medicine

Machine Learning in Medicine covers the state-of-the-art techniques of machine learning and their applications in the medical field. It presents several computer-aided diagnosis (CAD) systems, which have played an important role in the diagnosis of several diseases in the past decade, e.g., cancer detection, resulting in the development of several successful systems. New developments in machine learning may make it possible in the near future to develop machines that are capable of completely performing tasks that currently cannot be completed without human aid, especially in the medical field. This book covers such machines, including convolutional neural networks (CNNs) with different activation functions for small- to medium-size biomedical datasets, detection of abnormal activities stemming from cognitive decline, thermal dose modelling for thermal ablative cancer treatments, dermatological machine learning clinical decision support systems, artificial intelligence-powered ultrasound for diagnosis, practical challenges with possible solutions for machine learning in medical imaging, epilepsy diagnosis from structural MRI, Alzheimer's disease diagnosis, classification of left ventricular hypertrophy, and intelligent medical language understanding. This book will help to advance scientific research within the broad field of machine learning in the medical field. It focuses on major trends and challenges in this area and presents work aimed at identifying new techniques and their use in biomedical analysis, including extensive references at the end of each chapter.

More Books:

Machine Learning in Medicine
Language: en
Pages: 224
Authors: Ton J. Cleophas, Aeilko H. Zwinderman
Categories: Medical
Type: BOOK - Published: 2013-11-26 - Publisher: Springer Science & Business Media

Machine learning is concerned with the analysis of large data and multiple variables. It is also often more sensitive than traditional statistical methods to analyze small data. The first and second volumes reviewed subjects like optimal scaling, neural networks, factor analysis, partial least squares, discriminant analysis, canonical analysis, fuzzy modeling,
Machine Learning in Medicine
Language: en
Pages: 312
Authors: Ayman El-Baz, Jasjit S. Suri
Categories: Computers
Type: BOOK - Published: 2021-08-04 - Publisher: CRC Press

Machine Learning in Medicine covers the state-of-the-art techniques of machine learning and their applications in the medical field. It presents several computer-aided diagnosis (CAD) systems, which have played an important role in the diagnosis of several diseases in the past decade, e.g., cancer detection, resulting in the development of several
Machine Learning in Medicine - Cookbook Two
Language: en
Pages: 140
Authors: Ton J. Cleophas, Aeilko H. Zwinderman
Categories: Medical
Type: BOOK - Published: 2014-05-27 - Publisher: Springer

The amount of data medical databases doubles every 20 months, and physicians are at a loss to analyze them. Also, traditional data analysis has difficulty to identify outliers and patterns in big data and data with multiple exposure / outcome variables and analysis-rules for surveys and questionnaires, currently common methods
Machine Learning in Medicine - Cookbook
Language: en
Pages: 137
Authors: Ton J. Cleophas, Aeilko H. Zwinderman
Categories: Medical
Type: BOOK - Published: 2014-01-03 - Publisher: Springer Science & Business Media

The amount of data in medical databases doubles every 20 months, and physicians are at a loss to analyze them. Also, traditional methods of data analysis have difficulty to identify outliers and patterns in big data and data with multiple exposure / outcome variables and analysis-rules for surveys and questionnaires,
Machine Learning in Medicine - Cookbook Three
Language: en
Pages: 131
Authors: Ton J. Cleophas, Aeilko H. Zwinderman
Categories: Medical
Type: BOOK - Published: 2014-10-29 - Publisher: Springer

Unique features of the book involve the following. 1.This book is the third volume of a three volume series of cookbooks entitled "Machine Learning in Medicine - Cookbooks One, Two, and Three". No other self-assessment works for the medical and health care community covering the field of machine learning have