This is a repository for my Diploma Dissertation Thesis at EECE DUTh with the title: "Mass detection in Digital Breast Tomosynthesis".

"Breast_Cropper" PyTorch model is designed for the purpose of cropping breast tissues from mammograms.

Mass Detection in Breast Using Transfer Learning for Computer Aided Diagnosis

A mammographic mass detection and segmentation approach using a multi-scale morphological sifting approach integrated with a mean shift filter, k-means, and post-processing that detects and segments breast masses. This approach was on the InBreast mammographic dataset for Image Analysis course in MAIA Master's degree.