activity
20182022
most citedColon Shape Estimation Method for Colonoscope Tracking using Recurrent Neural Networks

4 citations · 8 across the 5 of their papers we have counts for

collaborators

5 papers

physics.med-ph2022★ 1 cited

Tracking accuracy evaluation of electromagnetic sensor-based colonoscope tracking method

Masahiro Oda, Hiroaki Kondo, Takayuki Kitasaka +6

This paper reports a detailed evaluation results of a colonoscope tracking method. A colonoscope tracking method utilizing electromagnetic sensors and a CT volume has been proposed…

eess.IV2022

Semi-automated Virtual Unfolded View Generation Method of Stomach from CT Volumes

Masahiro Oda, Tomoaki Suito, Yuichiro Hayashi +9

CT image-based diagnosis of the stomach is developed as a new way of diagnostic method. A virtual unfolded (VU) view is suitable for displaying its wall. In this paper, we propose…

cs.CV2020★ 4 cited

Colon Shape Estimation Method for Colonoscope Tracking using Recurrent Neural Networks

Masahiro Oda, Holger R. Roth, Takayuki Kitasaka +6

We propose an estimation method using a recurrent neural network (RNN) of the colon's shape where deformation was occurred by a colonoscope insertion. Colonoscope tracking or a nav…

cs.CV2020★ 2 cited

Colonoscope tracking method based on shape estimation network

Masahiro Oda, Holger R. Roth, Takayuki Kitasaka +5

This paper presents a colonoscope tracking method utilizing a colon shape estimation method. CT colonography is used as a less-invasive colon diagnosis method. If colonic polyps or…

cs.CV2018★ 1 cited

Machine learning-based colon deformation estimation method for colonoscope tracking

Masahiro Oda, Takayuki Kitasaka, Kazuhiro Furukawa +5

This paper presents a colon deformation estimation method, which can be used to estimate colon deformations during colonoscope insertions. Colonoscope tracking or navigation system…