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

Tensorflow implementation of GAID

Breast Cancer Detection using Mask-rcnn on the inbreast dataset

Breast Cancer classification of INbreast dataset Mammograms with VGG-16 and SVM in hybrid setting using transfer learning.

AI Breast cancer detection using InBreast, CBIS-DDSM, MIAS mammography image datasets

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.