A breast tissue characterization framework using PCA and weighted score fusion of neural network classifiers
Indrajeet Kumar⁎; Jitendra Virmani†; H.S. Bhadauria‡; Shruti Thakur§ ⁎ Department of Computer Science and Engineering, Galgotia Educational Institutions, Greater Noida, India† CSIR-CSIO, Chandigarh, India‡ Department of Computer Science and Engineering, GB Pant Institute of Engineering and Technology, Pauri, Garhwal, India§ Department of Radiology, Kamla Nehru Hospital, Shimla, India
Abstract
This work proposes a 4-class breast tissue pattern classification using principal component analysis (PCA) and weighted score fusion of neural network classifiers. The fixed size ROIs are extorted from the middle of the breast around ...
Get Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.