What question did this study set out to answer?

To develop a deep learning-based system for detecting breast cancer using mammogram images.

March 28, 2026Open Access

A Deep Learning Approach for Automated Breast Cancer Detection

Key Points

To develop a deep learning-based system for detecting breast cancer using mammogram images.
Used CBIS-DDSM mammogram images for analysis.
Applied preprocessing techniques such as ROI extraction.
Implemented transfer learning with models including ResNet50, MobileNet, and VGG16.
Achieved high classification accuracy of approximately 97%.
Demonstrated effectiveness for computer-aided diagnosis.

Abstract

Developed a deep learning-based breast cancer detection system using CBIS-DDSM mammogram images. Implemented preprocessing (ROI extraction), applied transfer learning with ResNet50, MobileNet, and VGG16, and achieved high classification accuracy (~97%), demonstrating effectiveness for computer-aided diagnosis.

A Deep Learning Approach for Automated Breast Cancer Detection

Key Points

Abstract

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