An Optimal Multilevel Thresholding Based for Color Image Segmentation

Language: English

Published by LAP LAMBERT Academic Publishing, 2023

6206767590 / 9786206767596

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nach der Bestellung gedruckt Neuware - Printed after ordering - Accurate diagnosis of breast cancer in histopathology images is challenging due to the heterogeneity of cancer cell growth as well as of a variety of benign breast tissue proliferative lesions. In this work, we propose a practical and self interpretable invasive cancer diagnosis solution. With minimum annotation information, the proposed method mines contrast patterns between normal and malignant images in unsupervised manner and generates a probability map of abnormalities to verify its reasoning. Particularly, a fully convolutional autoencoder is used to learn the dominant structural patterns among normal image patches. Patches that do not share the characteristics of this normal population are detected and analyzed by one-class support vector machine and 1-layer neural network. We apply the proposed method to a public breast cancer image set. Ourresults, in consultation with a senior pathologist, demonstrate that the proposed method outperforms existing methods. The obtained probability map could benefit the pathology practice by providing visualized verification data and potentially leads to a better understanding of data-driven diagnosis solutions.…

Seller Inventory # 9786206767596

Title
An Optimal Multilevel Thresholding Based for Color Image Segmentation
Author
Gajanan Kale
Publisher
LAP LAMBERT Academic Publishing
Publication year
2023
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
6206767590
ISBN 13
9786206767596
Item weight
131 grams
Dimensions
220x150x5 mm

AHA-BUCH GmbH

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