Description: Handbook of Deep Learning in Biomedical Engineering and Health Informatics, Hardcover by Julie, E. Golden, . (EDT); Robinson, Y. Harold, . (EDT); Jaisakthi, S. M., . (EDT), ISBN 1771889985, ISBN-13 9781771889988, Like New Used, Free shipping in the US Researchers in biomedical engineering and health informatics show how to apply deep learning architecture in medical image analysis to provide automatic interpretations such as image segmentation, classification, registration, and computer-aided analysis in a wide variety of areas. Their topics include an overview of convolutional neural network architecture and its variants in medical diagnostics of cancer and COVID-19, the technical assessment of various image stitching techniques: a deep learning approach, critical investigation and prototype study of deep brain stimulations: an application of biomedical engineering in healthcare, and medical image classification and manifold disease identification through convolutional neural networks: a research perspective. Annotation ©2021 Ringgold, Inc., Portland, OR ()
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Book Title: Handbook of Deep Learning in Biomedical Engineering and Health In
Publisher: Apple Academic Press, Incorporated
Subject: General
Publication Year: 2021
Number of Pages: 318 Pages
Language: English
Publication Name: Handbook of Deep Learning in Biomedical Engineering and Health Informatics
Type: Textbook
Author: S. M. Jaisakthi, Y. Harold Robinson, Golden Julie
Subject Area: Medical
Format: Hardcover