Development of deep learning tool to classify breast cancer images from CBIS-DDSM, INBreast and MIAS databases.

Breast Cancer Detection using Mask-rcnn on the inbreast dataset

Tensorflow implementation of GAID

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.