Localization of Nuclei in Breast Cancer Using Whole Slide Imaging System Supported by Morphological Features and Shape Formulas

Localization of Nuclei in Breast Cancer Using Whole Slide Imaging System Supported by Morphological Features and Shape Formulas

Anil Kumar, Manish Prateek School of Computer Science, University of Petroleum and Energy Studies, Dehradun 248007, IndiaCorrespondence: Anil Kumar Email anil.kumar@ddn.upes.ac.inPurpose: Cancer rates are exponentially increasing worldwide and over 15 million new cases are expected in the year 2020...

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Bibliographic Details
Main Authors: Kumar A, Prateek M
Format: Article
Language:English
Published: Dove Medical Press 2020-06-01
Series:Cancer Management and Research
Subjects:
unsupervised machine learning
morphological features
shape formulas
roi
wsi
h&e stained images
breast cancer
Online Access:https://www.dovepress.com/localization-of-nuclei-in-breast-cancer-using-whole-slide-imaging-syst-peer-reviewed-article-CMAR

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https://www.dovepress.com/localization-of-nuclei-in-breast-cancer-using-whole-slide-imaging-syst-peer-reviewed-article-CMAR

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