ISSN No:2250-3676 ----- Crossref DOI Prefix: 10.64771 ----- Impact Factor: 9.625
(Peer Reviewed, Referred & Indexed Journal)
OPTIMIZING BREAST CANCER MAMMOGRAM CLASSIFICATION THROUGH A DUAL APPROACH: A DEEP LEARNING FRAMEWORK COMBINING RESNET50, SMOTE, AND FULLY CONNECTED LAYERS FOR BALANCED AND IMBALANCED DATAID: 3577 Abstract : |
Published:18-7-2026 Issue:Vol. 26 No. 7 (2026) Page Nos:904 - 912 Section:Articles License:This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. How to Cite1 J.V. ANIL KUMAR, 2 SK. MOHAMMAD RAFI, 3GOPIREDDY TEJASWANI, 4CHAKKA SAI HIMA VARSHINI, 5BATTHULA DIVYA SRI, 6MODALA LIKITHA , OPTIMIZING BREAST CANCER MAMMOGRAM CLASSIFICATION THROUGH A DUAL APPROACH: A DEEP LEARNING FRAMEWORK COMBINING RESNET50, SMOTE, AND FULLY CONNECTED LAYERS FOR BALANCED AND IMBALANCED DATA , 2026, International Journal of Engineering Sciences and Advanced Technology, 26(7), Page 904 - 912, ISSN No: 2250-3676. |