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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

Adversarial Stain Transfer for Histopathology Image Analysis

TL;DR: A discriminative image analysis model equipped with a stain normalization component that transfers stains across datasets is designed, which achieves superior results in terms of accuracy and quality of normalized images compared to various baselines.
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Lost in Thought — The Limits of the Human Mind and the Future of Medicine

TL;DR: The complexity of medicine now exceeds the capacity of the human mind, and computers are the solution, but using them to manage this complexity will require fundamental changes in the way the authors think about thinking, and in the structure of medical education and research.
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Breast cancer screening in developing countries

TL;DR: The identification of indicators of presentation at diagnosis will improve the reporting of methodologies used in developing countries and will allow us to evaluate improvements in public health related to breast cancer.
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Fractal analysis in the detection of colonic cancer images

TL;DR: The aim of this study was to investigate the value of fractal dimension in separating normal and cancerous images, and to examine the relationship between Fractal dimension and traditional texture analysis features.
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Original and reviewed nuclear grading according to the Fuhrman system: a multivariate analysis of 388 patients with conventional renal cell carcinoma.

TL;DR: The reproducibility of the Fuhrman nuclear grading system was evaluated in a series of patients with conventional renal cell carcinoma (RCC) between 1986 and 2000 as mentioned in this paper.
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