Machine Learning in Medicine at Meripustak

Machine Learning in Medicine

Books from same Author: El-Baz Ayman

Books from same Publisher: T&F/Crc Press

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  • General Information  
    Author(s)El-Baz Ayman
    PublisherT&F/Crc Press
    Edition1st Edition
    ISBN9781032039855
    Pages312
    BindingSoftcover
    LanguageEnglish
    Publish YearAugust 2021

    Description

    T&F/Crc Press Machine Learning in Medicine by El-Baz Ayman

    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.