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eess.IV2022★ 17 cited
Realistic Endoscopic Image Generation Method Using Virtual-to-real Image-domain Translation
Masahiro Oda, Kiyohito Tanaka, Hirotsugu Takabatake +3
This paper proposes a realistic image generation method for visualization in endoscopic simulation systems. Endoscopic diagnosis and treatment are performed in many hospitals. To r…
eess.IV2022★ 16 cited
Depth Estimation from Single-shot Monocular Endoscope Image Using Image Domain Adaptation And Edge-Aware Depth Estimation
Masahiro Oda, Hayato Itoh, Kiyohito Tanaka +4
We propose a depth estimation method from a single-shot monocular endoscopic image using Lambertian surface translation by domain adaptation and depth estimation using multi-scale…
eess.IV2021★ 5 cited
Order-Guided Disentangled Representation Learning for Ulcerative Colitis Classification with Limited Labels
Shota Harada, Ryoma Bise, Hideaki Hayashi +2
Ulcerative colitis (UC) classification, which is an important task for endoscopic diagnosis, involves two main difficulties. First, endoscopic images with the annotation about UC (…