Eric Ortiz

Automated classification of ganglions and spiculated masses: A case study, Mexico's National Institute of Cancerology

2019

The proposed technique is based on Mask R-CNN and was evaluated using INCAN data set. We obtained a ganglion and spiculated mass average precision rate of 43% and pixel-wise segmentation performances with 69% recall, 99% …