Analysis of Digital Histopathology Images for Breast Cancer Diagnosis - Bandyopadhyay, Samir Kumar
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A biopsy sample is usually taken to detect cancerous cells. The biopsy sample is sliced into thin segments and mounted over a glass slide under a microscope for determination of the extent of the disease. With the advent of digital scanners and image processing capable computers analysis of histological slides have become easier and the different pre-processing and segmentation processes helps faster identification and characterization of a malign tissue. Tissue samples mounted on glass slides and transform them into digital images that can be shared electronically by Pathologist. The various…mehr

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Produktbeschreibung
A biopsy sample is usually taken to detect cancerous cells. The biopsy sample is sliced into thin segments and mounted over a glass slide under a microscope for determination of the extent of the disease. With the advent of digital scanners and image processing capable computers analysis of histological slides have become easier and the different pre-processing and segmentation processes helps faster identification and characterization of a malign tissue. Tissue samples mounted on glass slides and transform them into digital images that can be shared electronically by Pathologist. The various computational processes involved like pre-processing, feature-extraction, post-processing and disease detection (classifying the area of malignancy) are presented.
Autorenporträt
Prof. (Dr.) Samir Kumar Bandyopadhyay is Senior Professor in the Department of Computer Science and Engineering of University of Calcutta. He did his Bachelor and Master Degree in Engineering Degree and Medical Science from University of Calcutta.Prof. Bandyopadhyay did three Ph.D. in Medical Science. Prof. Bandyopadhyay published a number of books