Journal ArticleDOI
Dual Stage Normalization Approach Towards Classification of Breast Cancer
M. A. Aswathy,Jagannath Mohan +1 more
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...read more
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.
Journal ArticleDOI
A stain color normalization with robust dictionary learning for breast cancer histological images processing
Thaina Aparecida Azevedo Tosta,A. D. Freitas,Paulo Rogério de Faria,Leandro Alves Neves,Alessandro Santana Martins,Marcelo Zanchetta do Nascimento +5 more
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
Automatic segmentation of cell nuclei using Krill Herd optimization based multi-thresholding and Localized Active Contour Model
TL;DR: In this paper, segmentation of nuclei from breast histopathology images are carried out by Localized Active Contour Model (LACM) utilizing bio-inspired optimization techniques in the detection stage and Krill Herd Algorithm based optimal curve placement provides better initial boundaries compared with other detection techniques.
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An alternative reference space for H&E color normalization.
TL;DR: This work developed an alternative representation for H&E images that operates within a space that is more amenable to many of these image processing tools, and demonstrates that this framework can be extended to achieve color normalization, effectively reducing inter-slide variability.
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Current Perspectives on Gleason Grading of Prostate Cancer
TL;DR: This review addresses interobserver concordance in Gleason grading; the persistence of grading discrepancies with frequent upgrading from the biopsy to the prostatectomy specimen; the 2005 International Society of Urologic Pathologists’ modifications to Gleason grade; the impact of this modified grading on grade migration and outcome prediction; and molecular correlates of cancer morphology.
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Inter- and intra-observer variability in three grading systems for oral epithelial dysplasia.
Lakshmi Krishnan,Karuppiah Karpagaselvi,Jayalakshmi Kumarswamy,U S Sudheendra,K V Santosh,Archana Patil +5 more
TL;DR: The binary system of classification proved to have an overall better inter- and intra-observer agreement than the WHO, WHO and Ljubljana systems as well as in individual histopathological parameters.
Journal ArticleDOI
Segmentation of epidermal tissue with histopathological damage in images of haematoxylin and eosin stained human skin
TL;DR: The proposed methodology is able to segment the epidermis with different levels of histopathological damage and could be applied to segmentation of other epithelial tissues.