Probabilistic feature relevance learning (PFRL) is an effective technique for adaptively computing local feature relevance for content-based image retrieval. It however becomes le...
Symbol spotting problem requires feature extraction strategies able to generalize from training samples and to localize the target object while discarding most part of the image. ...
In this paper, we propose a multi-modal image registration method based on the a priori knowledge of the expected joint intensity distribution estimated from aligned training image...
Albert C. S. Chung, William M. Wells III, Alexande...
Transurethral Resection of the Prostate (TUR-P) is the most common surgical procedure for Benign Prostatic Hyperplasia (BPH). However, damage to the mucous membrane of the urethra ...
Ryuji Hashimoto, Daeyoung Kim, Nobuhiko Hata, Take...
Abstract. Deformable template models are valuable tools in medical image segmentation. Current methods elegantly incorporate global shape and appearance, but can not cope with loca...