6 citations · 13 across the 4 of their papers we have counts for
4 papers
Sketch-based Medical Image Retrieval
Kazuma Kobayashi, Lin Gu, Ryuichiro Hataya +12
The amount of medical images stored in hospitals is increasing faster than ever; however, utilizing the accumulated medical images has been limited. This is because existing conten…
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…
Shadow Detection for Ultrasound Images Using Unlabeled Data and Synthetic Shadows
Suguru Yasutomi, Tatsuya Arakaki, Ryuji Hamamoto
Medical ultrasound is widely used technique for diagnosing internal organs. As common artifacts, shadows often appear in ultrasound images. Detecting such shadows is curious becaus…