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Titlebook: Convolutional Neural Networks for Medical Applications; Teik Toe Teoh Book 2023 The Editor(s) (if applicable) and The Author(s), under exc

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发表于 2025-3-21 17:18:51 | 显示全部楼层 |阅读模式
书目名称Convolutional Neural Networks for Medical Applications
编辑Teik Toe Teoh
视频video
概述Covers various use cases of Convolutional Neural Networks on medical images.Unique data augmentations and image processing techniques for medical imagery.Classified diseases are provided with detailed
丛书名称SpringerBriefs in Computer Science
图书封面Titlebook: Convolutional Neural Networks for Medical Applications;  Teik Toe Teoh Book 2023 The Editor(s) (if applicable) and The Author(s), under exc
描述.Convolutional Neural Networks for Medical Applications consists of research investigated by the author, containing state-of-the-art knowledge, authored by Dr Teoh Teik Toe, in applying Convolutional Neural Networks (CNNs) to the medical imagery domain. This book will expose researchers to various applications and techniques applied with deep learning on medical images, as well as unique techniques to enhance the performance of these networks.Through the various chapters and topics covered, this book provides knowledge about the fundamentals of deep learning to a common reader while allowing a research scholar to identify some futuristic problem areas. The topics covered include brain tumor classification, pneumonia image classification, white blood cell classification, skin cancer classification and diabetic retinopathy detection. The first chapter will begin by introducing various topics used in training CNNs to help readers with common concepts covered across the book. Each chapter begins by providing information about the disease, its implications to the affected and how the use of CNNs can help to tackle issues faced in healthcare. Readers would be exposed to various performan
出版日期Book 2023
关键词Medical Imagery; Convolutional Neural Networks; Healthcare; Computer Vision; Brain Tumor; Skin Cancer; Dia
版次1
doihttps://doi.org/10.1007/978-981-19-8814-1
isbn_softcover978-981-19-8813-4
isbn_ebook978-981-19-8814-1Series ISSN 2191-5768 Series E-ISSN 2191-5776
issn_series 2191-5768
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
The information of publication is updating

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发表于 2025-3-21 21:53:31 | 显示全部楼层
发表于 2025-3-22 02:19:00 | 显示全部楼层
CNN for White Blood Cell Classification,an immunological function. When germs infiltrate the body, white blood cells can penetrate the capillary wall, focus on the invasion site, encircle the bacteria, and swallow them. In the process of hemostasis, the process to stop bleeding, platelets are crucial.
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y. CNN was first proposed by Yann Lecun and applied to handwritten number recognition (Lecun et al., Proc. IEEE 86(11):2278–2324, 1998). Its essence is a multi-layer perceptron. The reason for its success lies in the way of local connection and weight sharing, enabling effective feature extraction on images at different scales.
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发表于 2025-3-22 18:51:18 | 显示全部楼层
Introduction,y. CNN was first proposed by Yann Lecun and applied to handwritten number recognition (Lecun et al., Proc. IEEE 86(11):2278–2324, 1998). Its essence is a multi-layer perceptron. The reason for its success lies in the way of local connection and weight sharing, enabling effective feature extraction on images at different scales.
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发表于 2025-3-23 02:51:54 | 显示全部楼层
Book 2023ed by Dr Teoh Teik Toe, in applying Convolutional Neural Networks (CNNs) to the medical imagery domain. This book will expose researchers to various applications and techniques applied with deep learning on medical images, as well as unique techniques to enhance the performance of these networks.Thr
发表于 2025-3-23 07:06:47 | 显示全部楼层
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