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the paper presents an efficient BreastNet model for breast cancer detection containing 48 layers, applied to three datasets namely breast ultrasound images (BUST), which includes 780 images classified into benign, malignant, normal and invasive ductal carcinoma (IDC) and BreakHis_v1_400X. Breast cancer images are processed using different feature extraction vectors.
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This page is a summary of: Optimized Breast Cancer Diagnosis through Medical Image Processing: Integration of Multiwavelet Transform, Gamma Correction, and Hybrid Deep Convolutional Neural Networks, International Journal of Intelligent Engineering and Systems, December 2024, The Intelligent Networks and Systems Society,
DOI: 10.22266/ijies2024.1231.85.
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