Real-time evaluation of breast self-examination using computer vision.

Breast cancer is the most common cancer among women worldwide and breast self-examination (BSE) is considered as the most cost-effective approach for early breast cancer detection. The general objective of this paper is to design and develop a computer vision algorithm to evaluate the BSE performance in real-time. The first stage of the algorithm presents a method for detecting and tracking the nipples in frames while a woman performs BSE; the second stage presents a method for localizing the breast region and blocks of pixels related to palpation of the breast, and the third stage focuses on detecting the palpated blocks in the breast region.

Low incidence of alpha 1-antitrypsin deficiency among Filipinos with neonatal cholestatis.

Aim: Alpha 1-antitrypsin (AAT) deficiency is the most common genetic cause of liver disease in children. The Pi*S carrier rate among Filipinos is <1%. Its significance in Filipino infants with neonatal cholestasis has not been investigated.