Detection and Classification of Cancer from Microscopic Biopsy Images Using Clinically Significant and Biologically Interpretable Features

A framework for automated detection and classification of cancer from microscopic biopsy images using clinically significant and biologically interpretable features is proposed and examined. The various stages involved in the proposed methodology include enhancement of microscopic images, segmentati...

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Detalles Bibliográficos
Autores principales: Kumar, Rajesh, Srivastava, Rajeev, Srivastava, Subodh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4782618/
https://www.ncbi.nlm.nih.gov/pubmed/27006938
http://dx.doi.org/10.1155/2015/457906

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4782618/
https://www.ncbi.nlm.nih.gov/pubmed/27006938
http://dx.doi.org/10.1155/2015/457906

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