7 citations · 22 across the 10 of their papers we have counts for
3 papers · 1 filter
Decomposing Normal and Abnormal Features of Medical Images for Content-based Image Retrieval
Kazuma Kobayashi, Ryuichiro Hataya, Yusuke Kurose +2
Medical images can be decomposed into normal and abnormal features, which is considered as the compositionality. Based on this idea, we propose an encoder-decoder network to decomp…
Learning Global and Local Features of Normal Brain Anatomy for Unsupervised Abnormality Detection
Kazuma Kobayashi, Ryuichiro Hataya, Yusuke Kurose +7
In real-world clinical practice, overlooking unanticipated findings can result in serious consequences. However, supervised learning, which is the foundation for the current succes…
Coronary Wall Segmentation in CCTA Scans via a Hybrid Net with Contours Regularization
Kaikai Huang, Antonio Tejero-de-Pablos, Hiroaki Yamane +8
Providing closed and well-connected boundaries of coronary artery is essential to assist cardiologists in the diagnosis of coronary artery disease (CAD). Recently, several deep lea…