JULY 2009 9 VOLUME 21 l ISSUE 7 Back to

Mammography is used commonly to detect the cancer in breast at the early stage. The early stage of breast cancer detection helps in avoiding the removal of breast in women and even the death caused due to breast cancer. There are many computer aided softwares that are designed to detect breast cancer but still only biopsy method is effective in predicting the exact scenario. This biopsy techniq...

We present an approach to detect MCs in mammograms by casting the detection problem as finding sparse representations of test samples with respect to training samples. The ground truth training samples of MCs in mammograms are assumed to be known as a priori. From these samples of the interest object class, a vocabulary of information-rich object parts is automatically constructed. The sparse r...

This study aims to investigate the impact of psammoma body (PB) on papillary thyroid carcinoma (PTC), and evaluate the association among PB, Hashimoto thyroiditis (HT), and other clinicopathologic characteristics in PTC patients.We conducted a retrospective case-control study involving 1052 PTC patients who underwent total thyroidectomy or lobectomy with lymph node dissection.Psammoma body was ...

BACKGROUND The present study was conducted to investigate the diagnostic performance of conventional ultrasonography (US) combined with contrast-enhanced ultrasonography (CEUS) in thyroid micronodules with thyroid imaging reporting and data system (TI-RADS) category 3 and 4. MATERIAL AND METHODS The features of conventional US and CEUS ion 102 case of thyroid micronodule samples, which were dia...

OBJECTIVE Detection and characterization of microcalcification clusters in mammograms is vital in daily clinical practice. The scope of this work is to present a novel computer-based automated method for the characterization of microcalcification clusters in digitized mammograms. METHODS AND MATERIAL The proposed method has been implemented in three stages: (a) the cluster detection stage to ...

We have reported previously [10,6] two algorithms for detecting microcalcifications that operate either on Highnam and Brady’s [3] hint representation or the latter’s presentation as an image: SMF = Standardised Mammogram Form. We introduce a third such method that applies to SMF a model of human foveal image processing. Comparative analysis with [10,6] shows significantly enhanced results for ...

The presentation of images that are similar to that of an unknown lesion seen on a mammogram may be helpful for radiologists to correctly diagnose that lesion. For similar images to be useful, they must be quite similar from the radiologists' point of view. We have been trying to quantify the radiologists' impression of similarity for pairs of lesions and to establish a "gold standard" for deve...