BREAST CANCER CLASSIFICATION IN ULTRASOUND IMAGES USING TWO-PHASE EFFICIENTNETB7 TRANSFER LEARNING
AUTHORS:
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Dr.G.Thirupati
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Department Of CSE, SVS Group of Institutions (Autonomous), Bheemaram ,Hanmakonda, Telangana
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Abstract
Breast cancer is a leading cause of cancer morbidity and mortality among women globally, emphasizing the need for accurate and timely diagnostic methods. A systematic but innovative two phases transfer learning based deep learning classification framework is developed using popular EfficientNetB7 architecture architecture for breast cancer classification. Breast ultrasound imaging proves a high degree of complexity to extract features with limited available medical datasets to address it and the proposed methodology attributes to it. We develop a framework which encompasses formalisation into components like data augmentation, progressive fine-tuning and adaptive learning rate optimization as methods for model generalisation. Experiments on the Breast Ultrasound Images (BUSI) dataset show that the model achieves best accuracy of over 91. 25% when classifying breast lesions into benign, malignant, and normal. It shows good discriminative abilities (validation accuracy: 93.62%) and a trained model converge well. We compare our method with the current ones and show significant advancements over all previous methods making our approach suitable for computer-aided diagnosis systems in clinical workflows.
Keywords
Breast Cancer Classification Deep Learning EfficientNetB7 Transfer Learning Medical Image Analysis Ultrasound Imaging Computer-Aided Diagnosis Convolutional Neural Networks
Article Information
PUBLICATION DETAILS
Review Type:
Double-Blind Peer Review
License:
CC BY-NC 4.0
Volume/Issue:
Volume 02, Issue 8
Review Rounds:
2
Article Type:
Research Article
Publication Date:
Aug 24 2026
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Kavya, M. (2026). Breast Cancer Classification in Ultrasound Images Using Two-Phase EfficientNetB7 Transfer Learning. International Journal of Science, Strategic Management and Technology, 02(8), 1-9. https://doi.org/10.55041/ijsmt.v2i8.063
Kavya, Madishetti. "Breast Cancer Classification in Ultrasound Images Using Two-Phase EfficientNetB7 Transfer Learning." International Journal of Science, Strategic Management and Technology, vol. 02, no. 8, 2026, pp. 1-9. doi:https://doi.org/10.55041/ijsmt.v2i8.063.
Kavya, Madishetti. "Breast Cancer Classification in Ultrasound Images Using Two-Phase EfficientNetB7 Transfer Learning." International Journal of Science, Strategic Management and Technology 02, no. 8 (2026): 1-9. https://doi.org/https://doi.org/10.55041/ijsmt.v2i8.063.
References
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This article has undergone plagiarism screening and double-blind peer review. Editorial policies have been followed. Authors retain copyright under CC BY-NC 4.0 license. The research complies with ethical standards and institutional guidelines.
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