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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

Multifeature Prostate Cancer Diagnosis and Gleason Grading of Histological Images

TL;DR: The performance of Gaussian, -nearest neighbor, and support vector machine classifiers together with the sequential forward feature selection algorithm is compared to aggregate color, texture, and morphometric cues at the global and histological object levels for classification.
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American Cancer Society guidelines for the early detection of cancer, 2004.

TL;DR: The most recent data pertaining to participation rates in cancer screening are presented by age and sex from the Centers for Disease Control and Prevention's Behavioral Risk Factor Surveillance System, as are U.S. maps profiling states based on the proportion of the age-eligible population not recently screened for breast cancer or colorectal cancer as mentioned in this paper.
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Stain Specific Standardization of Whole-Slide Histopathological Images

TL;DR: The results of the empirical evaluations collectively demonstrate the potential contribution of the proposed standardization algorithm to improved diagnostic accuracy and consistency in computer-aided diagnosis for histopathology data.
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Histological Stains: A Literature Review and Case Study

TL;DR: Results from the literature review has indicated that there has been an improvement in histopathology and histotechnology in stains used, and a combination of different stain techniques are used to enhance the effectiveness of the staining process.
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