Deep Learning Methods for Retinal Blood Vessel Image Extraction

Language: English

Published by LAP LAMBERT Academic Publishing, 2022

6204752227 / 9786204752228

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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nach der Bestellung gedruckt Neuware - Printed after ordering - The changes in the retinal blood vessel features are used to diagnose multiple diseases and detect them at an early stage. In order to detect these changes a very crucial step is involved which is called as vessel segmentation process. Different diseases affect retinal vessels like neovascularization in diabetic retinopathy, heart stroke, and cardiovascular diseases. Retina image analysis plays a vital role in the medical diagnosis of multiple diseases. Diabetic retinopathy is considered one of the dreadful diseases that damage the retina and leads to vision loss. So segmentation of these blood vessels guides the ophthalmologists to assess the disease intensity accurately. It was observed that retina blood vessel structures are treated as an indispensable element for ophthalmologists in assessing cardiovascular diseases hence there is a great need to segment these vessel structures accurately which can be accomplished only through computer-aided diagnostic algorithms. In this book, an attempt is made to fulfill the need for accurate, robust, and fast automated vessel segmentation methods by investigating different works of image segmentation algorithms and techniques.…

Seller Inventory # 9786204752228

Title
Deep Learning Methods for Retinal Blood Vessel Image Extraction
Author
Shafiulla Basha Shaik
Publisher
LAP LAMBERT Academic Publishing
Publication year
2022
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
6204752227
ISBN 13
9786204752228
Item weight
238 grams
Dimensions
220x150x9 mm

AHA-BUCH GmbH

Einbeck, Germany

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Shipping rates from Germany to U.S.A.

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