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Can lend chapters, not whole ebooks
Title
Intelligent vision in healthcare / Mukesh Saraswat, Harish Sharma, Karm Veer Arya, editors.
ISBN
9789811677717 (electronic bk.)
9811677719 (electronic bk.)
9811677700
9789811677700
Publication Details
Singapore : Springer, 2022.
Language
English
Description
1 online resource
Item Number
10.1007/978-981-16-7771-7 doi
Call Number
R859.7.C67
Dewey Decimal Classification
610.285/637
Summary
This book focuses on various aspects of computer vision applications in the field of healthcare. It covers new tools and technologies in some of the important areas of medical science like histopathological image analysis, cancer taxonomy, use of deep learning architecture dental care, and many more. Furthermore, this book reviews and discusses the use of intelligent learning-based algorithms for increasing the precision in medical domain. The book discusses different computer vision algorithms which are useful in various industries and day-to-day life. It also highlights many challenges faced by research community, like view point variations, scale variations, illumination variations, multi-modalities, and noise.
Access Note
Access limited to authorized users.
Digital File Characteristics
text file PDF
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed February 8, 2022).
Series
Studies in autonomic, data-driven and industrial computing.
Available in Other Form
Print version: 9789811677700
Intelligent Vision in Healthcare
Diagnosis of Covid-19 in X-ray and CT Images Using Online Clustering Framework
Unsupervised Deep Learning Approach for the Identification of Intracranial haemorrhage in CT images using PCA-Net and K-Means algorithm
Automatic segmentation of optic cup and optic disc using MultiResUnet for Glaucoma classification from fundus image
A Framework to Classify the Calcification Region from USG Images of Thyroid Nodules
Predicting Heart Disease with Multiple Classifiers.