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Deep Learning in Healthcare = Paradi...
~
Jain, Lakhmi C.
Deep Learning in Healthcare = Paradigms and Applications /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Deep Learning in Healthcare/ edited by Yen-Wei Chen, Lakhmi C. Jain.
Reminder of title:
Paradigms and Applications /
other author:
Chen, Yen-Wei.
Description:
XIV, 218 p. 114 illus., 90 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Computational intelligence. -
Online resource:
https://doi.org/10.1007/978-3-030-32606-7
ISBN:
9783030326067
Deep Learning in Healthcare = Paradigms and Applications /
Deep Learning in Healthcare
Paradigms and Applications /[electronic resource] :edited by Yen-Wei Chen, Lakhmi C. Jain. - 1st ed. 2020. - XIV, 218 p. 114 illus., 90 illus. in color.online resource. - Intelligent Systems Reference Library,1711868-4394 ;. - Intelligent Systems Reference Library,67.
Medical Image Detection Using Deep Learning -- Medical Image Segmentation Using Deep Learning -- Medical Image Classification Using Deep Learning.
This book provides a comprehensive overview of deep learning (DL) in medical and healthcare applications, including the fundamentals and current advances in medical image analysis, state-of-the-art DL methods for medical image analysis and real-world, deep learning-based clinical computer-aided diagnosis systems. Deep learning (DL) is one of the key techniques of artificial intelligence (AI) and today plays an important role in numerous academic and industrial areas. DL involves using a neural network with many layers (deep structure) between input and output, and its main advantage of is that it can automatically learn data-driven, highly representative and hierarchical features and perform feature extraction and classification on one network. DL can be used to model or simulate an intelligent system or process using annotated training data. Recently, DL has become widely used in medical applications, such as anatomic modelling, tumour detection, disease classification, computer-aided diagnosis and surgical planning. This book is intended for computer science and engineering students and researchers, medical professionals and anyone interested using DL techniques.
ISBN: 9783030326067
Standard No.: 10.1007/978-3-030-32606-7doiSubjects--Topical Terms:
568984
Computational intelligence.
LC Class. No.: Q342
Dewey Class. No.: 006.3
Deep Learning in Healthcare = Paradigms and Applications /
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