AUTOMATED DETECTION OF MITOTIC FIGURES IN BREAST CANCER HISTOPATHOLOGY IMAGES USING GABOR FEATURES AND DEEP NEURAL NETWORKS

AUTOMATED DETECTION OF MITOTIC FIGURES IN BREAST CANCER HISTOPATHOLOGY IMAGES USING GABOR FEATURES AND DEEP NEURAL NETWORKS

The count of mitotic figures in Breast cancer histopathology slides is the most significant independent prognostic factor enabling determination of the proliferative activity of the tumor. In spite of the strict protocols followed, the mitotic counting activity suffers from subjectivity and consider...

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Bibliographic Details
Main Authors: Maqlin Paramanandam, Robinson Thamburaj, Joy John Mammen
Format: Article
Language:English
Published: ICT Academy of Tamil Nadu 2016-11-01
Series:ICTACT Journal on Image and Video Processing
Subjects:
Breast Cancer
Deep Neural Networks
Gabor Filter
Histopathology
Mitotic Count
Online Access:http://ictactjournals.in/ArticleDetails.aspx?id=2742

Internet

http://ictactjournals.in/ArticleDetails.aspx?id=2742

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