Detection and classification of masses in mammographic images in a multi-kernel approach

no code implementations • 20 Dec 2017 • Sidney Marlon Lopes de Lima, Abel Guilhermino da Silva Filho, Wellington Pinheiro dos Santos

As our proposed model can combine high accuracy rate with low learning time, whenever a new data is received, our work will be able to save a lot of time, hours, in learning process in relation to the best method of the state-of-the-art.

General Classification

Analysis of supervised and semi-supervised GrowCut applied to segmentation of masses in mammography images

no code implementations • 20 Dec 2017 • Filipe Rolim Cordeiro, Wellington Pinheiro dos Santos, Abel Guilhermino da Silva Filho

Mammography image analysis is still the most effective diagnostic method to promote the early detection of breast cancer.

Segmentation

A semi-supervised fuzzy GrowCut algorithm to segment and classify regions of interest of mammographic images

no code implementations • 3 Dec 2017 • Filipe Rolim Cordeiro, Wellington Pinheiro dos Santos, Abel Guilhermino da Silva Filho

In this work we present a new semi-supervised segmentation algorithm based on the modification of the GrowCut algorithm to perform automatic mammographic image segmentation once a region of interest is selected by a specialist.

Image Segmentation Segmentation +1