Segmentation of microcalcifications in regions of interest extracted from mammography by applying partitional clustering algorithms
Universidad Mundo Maya, Sarai GARZA-GIRÓN · 2021
In recent years, breast cancer has become a topic of interest because it is one of the main causes of death in women. Due to this, this work shows the implementation of a methodology, which is based on digital image processing techniques, such as the segmentation of microcalcifications in regions of interest of digitized mammograms. The segmentation technique used is based on the PFCM clustering algorithm, which is known as subsegmentation. This technique at the same time delimits, highlights and detects in a supervised way the possible microcalcifications found in the regions of interest extracted from the mammograms, the images presented and on which the experiments were performed are taken from the mini-MIAS database which are adequately classified by experts.