no code implementations • 14 Jan 2022 • Masahiro Oda, Tomoaki Suito, Yuichiro Hayashi, Takayuki Kitasaka, Kazuhiro Furukawa, Ryoji Miyahara, Yoshiki Hirooka, Hidemi Goto, Gen Iinuma, Kazunari Misawa, Shigeru Nawano, Kensaku MORI
In this paper, we propose a semi-automated method for generating VU views of the stomach.
We propose a colon deformation estimation method using RNN and obtain the colonoscope shape from electromagnetic sensors during its insertion into the colon.
We utilize the shape estimation network (SEN), which estimates deformed colon shape during colonoscope insertions.
An estimation method of colon deformations occur during colonoscope insertions is necessary to reduce tracking errors.