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Dual Stage Normalization Approach Towards Classification of Breast Cancer

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TLDR
The objective of the study was to establish a histopathological basis for the prognosis of breast cancer in women with a history of atypical mastectomy and establish a standard of care for such cancer.
Abstract
Breast cancer is a major concern among women that causes high risk of death. Early diagnosis of such cancer becomes challenging due to alterations in the color of the histopathological breast image...

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Citations
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Multi-Deep CNN based Experimentations for Early Diagnosis of Breast Cancer

TL;DR: In this article , the authors examined a modern Computer-Aided Diagnosis (CAD) framework that uses DL to extract features and classify them for aiding radiologists in breast cancer diagnosis.
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A stain color normalization with robust dictionary learning for breast cancer histological images processing

TL;DR: In this paper , the color appearance matrices and density maps of the stain were estimated to improve the color estimation of histological images, and a method for normalizing hematoxylin and eosin-stained histology images was proposed.
References
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Journal ArticleDOI

Circular Mixture Modeling of Color Distribution for Blind Stain Separation in Pathology Images

TL;DR: This paper introduces a systematical and analytical solution consisting of a circular color analysis module and an NMF-based computation module that outperforms state-of-the-art blind stain separation methods in terms of decomposition effectiveness.
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Deep Learning and Online Video: Advances in Transcription, Automated Indexing, and Manipulation

TL;DR: The idea of deep learning and how deep learning tools can be used to transcribe, translate, search, and even manipulate videos are discussed and ways that librarians can use these tools to help their institutions better manage video content are suggested.
Journal ArticleDOI

An Intelligent Classification of Breast Cancer Images

TL;DR: An intelligent classification method for identifying the breast cancer from the images attained as benign and malignant and this initial stage discovery would support in recovering more number of women from this serious disease.
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