Breast Tumor Classification with Enhanced Transfer Learning Features and Selection Using Chaotic Map-Based Optimization

Breast Tumor Classification with Enhanced Transfer Learning Features and Selection Using Chaotic Map-Based Optimization

Abstract Among women, breast cancer remains one of the most dominant cancer types. In the year 2022, around 2,87,800 new cases were diagnosed, and 43,200 women faced mortality due to this disease. Analysis and processing of mammogram images is vital for its earlier identification and thus helps in r...

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Bibliographic Details
Main Authors: Sannasi Chakravarthy, Bharanidharan Nagarajan, V. Vinoth Kumar, T. R. Mahesh, R. Sivakami, Jonnakuti Rajkumar Annand
Format: Article
Language:English
Published: Springer 2024-02-01
Series:International Journal of Computational Intelligence Systems
Subjects:
Mammography
Mammograms
Breast cancer
Optimization
Deep-learning
Crow search algorithm
Online Access:https://doi.org/10.1007/s44196-024-00409-8

Internet

https://doi.org/10.1007/s44196-024-00409-8

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