Enhanced DL-Based Breast Cancer Diagnosis and Classification Using Modified DenseNet-121, DenseNet-201, and MobileNetV2: Optimized Architectures and Refined Activation Functions

Deep learning has revolutionized medical image analysis, particularly in the domain of breast cancer detection. Despite notable progress, further optimization of neural network architectures and activation functions remains critical for enhancing classification accuracy and model generalization. Thi...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Khaddouj Taifi, Yassine Sabbar, Hanin Ardah, Abdel-Haleem Abdel-Aty
Format:	Article
Language:	English
Published:	IEEE 2025-01-01
Subjects:	Deep learning breast cancer detection DenseNet-121 DenseNet-201 MobileNetV2 GELU
Online Access:	https://ieeexplore.ieee.org/document/11106463/