NLU Meghalaya Library

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Disruptive trends in computer aided diagnosis / edited by Rik Das, Post Graduate Programme in Information Technology, Xavier Institute of Social Service, Ranchi, Jharkhand, India, Sudarshan Nandy, Dept. of Computer Science and Engineering, Amity School of Engineering and Technology, Amity University of Kolkata, Kolkata, West Bengal, India, Siddhartha Bhattacharyya, Department of Computer Science and Engineering, Christ University, Bangalore, Karnataka, India.

Contributor(s): Material type: TextSeries: Computational intelligence and its applicationsPublisher: Boca Raton : Chapman & Hall/CRC Press, 2021Edition: First editionDescription: 1 online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781003045816
  • 1003045812
  • 9781000414707
  • 1000414701
  • 9781000414691
  • 1000414698
Subject(s): DDC classification:
  • 616.07/5 23
LOC classification:
  • R723.5
Online resources: Summary: "This book is an attempt to collate novel techniques and methodologies in the domain of content- based image classification and deep learning/machine learning techniques to design efficient computer aided diagnosis architecture. It is aimed to highlight new challenges and probable solutions"-- Provided by publisher.
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"This book is an attempt to collate novel techniques and methodologies in the domain of content- based image classification and deep learning/machine learning techniques to design efficient computer aided diagnosis architecture. It is aimed to highlight new challenges and probable solutions"-- Provided by publisher.

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