Histopathological image analysis in medical decision making

Nilanjan Dey (Techno India College of Technology, India), Amira S. Ashour (Tanta University, Egypt), Harihar Kalia (Seemantha Engineering College, India), R.T. Goswami (Techno India College of Technology, India), Himansu Das (KIIT University, India), editors

"This book addresses the major techniques of segmentation, features extraction and classification, and pattern recognition for the histopathological images as well as their use to support computer-aided systems. It also introduces the analysis of the histopathological images using artificial neural network and other machine learning techniques"--Provided by publisher.

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Year of publication:	[2019]
Other Persons:	Dey, Nilanjan (ed.) ; Ashour, Amira (ed.) ; Kalia, Harihar (ed.) ; Goswami, R. T. (ed.) ; Das, Himansu (ed.)
Publisher:	Hershey, Pennsylvania : IGI Global

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Extent:	1 Online-Ressource (xx, 340 Seiten)
Series:	Advances in medical technologies and clinical practice (AMTCP) book series
Type of publication:	Book / Working Paper
Language:	English
Notes:	Includes bibliographical references and index Restricted to subscribers or individual electronic text purchasers Mode of access: World Wide Web Chapter 1. A study on segmentation of leukocyte image with Shannon's entropy -- Chapter 2. Microscopic image processing for the analysis of Nosema disease -- Chapter 3. Medical image lossy compression with LSTM networks -- Chapter 4. Digital image analysis for early diagnosis of cancer: identification of pre-cancerous state -- Chapter 5. Multi-criteria decision-making techniques for histopathological image classification -- Chapter 6. Histopathological image analysis in medical decision making: classification of histopathological images based on deep learning model -- Chapter 7. A novel approach of K-SVD-based algorithm for image denoising -- Chapter 8. Analysis of medical images using fractal geometry -- Chapter 9. Analysis of color image encryption using multidimensional Bogdanov map -- Chapter 10. Automatic computerized diagnostic tool for down syndrome detection in fetus -- Chapter 11. Adaptive prediction methods for medical image/video compression for telemedicine application -- Chapter 12. HE stain image segmentation using an innovative type-2 fuzzy set-based approach Also available in print.
ISBN:	978-1-5225-6317-4 ; 978-1-5225-6316-7 ; 1-5225-6316-4
Other identifiers:	10.4018/978-1-5225-6316-7 [DOI]
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10012393286