Breast

Automated segmentation of parenchyma or tumor regions; Separation between benign cancer and malignant cancer; Registration between multimodality breast images, or different time images.

Computer Aided Diagnosis in Breast MR images

The goal of this project is to develop a computed aided diagnostic (CAD) system for supporting the detection and classification of breast cancer and improving its specificity, using contrast-enhanced magnetic resonance (ce-MR) images

Computer Aided Detection of Breast Arterial Calcification (BAC) in Digital Mammography

Breast Arterial Calcification (BAC) is reported to have correlation with women's cardiovascular disease. However, most studies in the literature are evaluated subjectively by human experts. To further prove that BAC is actually an effective marker of cardiovascular disease, this project aims to develop a computer aided detection tool for the quantitative assessment of BAC in digital mammography.

« May 2012 »

News: Congratulations on Yu's paper accepted for IEEE TMI 2012-05-21; Congratulation on Feng's infant brain skull-stripping paper, which was accepted by Neuroimage 2012-05-18; IDEA Lab has 13 papers accepted for MICCAI 2012 2012-05-16; Congratulations on Feng's paper which was just accepted for Neuroimage 2012-05-11; Congratulations on Wee for his paper that was just accepted for PLoS ONE 2012-04-25; More news…

Sections

Breast