Breast Cancer Classification: Hybrid Deep Learning Approach (Master’s Thesis)
Published:
Developed a breast cancer classification model combining deep learning and traditional ML classifiers. Achieved AUC = 0.98 on INBreast dataset.
Published:
Developed a breast cancer classification model combining deep learning and traditional ML classifiers. Achieved AUC = 0.98 on INBreast dataset.