no code implementations • 8 Dec 2023 • Taro Hatsutani, Akimichi Ichinose, Keigo Nakamura, Yoshiro Kitamura
In this paper, we present a novel framework, which can explicitly capture protruded regions in kidneys to enable a better segmentation of kidney tumors.
no code implementations • 8 Dec 2023 • Akimichi Ichinose, Taro Hatsutani, Keigo Nakamura, Yoshiro Kitamura, Satoshi Iizuka, Edgar Simo-Serra, Shoji Kido, Noriyuki Tomiyama
Our framework combines two components of 1) anatomical segmentation of images, and 2) report structuring.
no code implementations • 12 Jun 2019 • Changhee Han, Yoshiro Kitamura, Akira Kudo, Akimichi Ichinose, Leonardo Rundo, Yujiro Furukawa, Kazuki Umemoto, Yuanzhong Li, Hideki Nakayama
Accurate Computer-Assisted Diagnosis, relying on large-scale annotated pathological images, can alleviate the risk of overlooking the diagnosis.