Hiroyasu Usami
Hiroyasu Usami
A Research Associate of Department of Computer Science, Chubu University, Japan
Verified email at - Homepage
Cited by
Cited by
Defect detection and classification of electronic circuit boards using keypoint extraction and CNN features
YTTSH Usami, Y Iwahori, MK Bhuyan
Colorectal polyp classification based on latent sharing features domain from multiple endoscopy images
H Usami, Y Iwahori, Y Adachi, MK Bhuyan, A Wang, S Inoue, M Ebi, ...
Procedia Computer Science 176, 2507-2514, 2020
Development of web learning support system using “my dictionary” in English study
H Usami, H Eguchi, M Ozaki, Y Adachi
Procedia Computer Science 60, 944-951, 2015
Automatic polyp detection from endoscope image using likelihood map based on edge information
Y Iwahori, H Hagi, H Usami, RJ Woodham, A Wang, MK Bhuyan, ...
International Conference on Pattern Recognition Applications and Methods 2 …, 2017
Polyp classification using multiple cnn-svm classifiers from endoscope images
M Murata, H Usami, Y Iwahori, W Aili
The Ninth Int Conf Pervasive Patterns Appl 2017, 109-112, 2017
Generating lambertian image by removing specular reflection component and difference of reflectance factor using hsv
N Ikeda, H Usami, Y Iwahori, B Kijsirikul, K Kasugai
IEICE Proceedings Series 61 (4870), 2016
Shape recovery of polyp from endoscope image using blood vessel information
Y Iwahori, T Suda, K Funahashi, H Usami, A Wang, MK Bhuyan, ...
Computational Science/Intelligence and Applied Informatics, 165-184, 2018
Polyp Shape Recovery using Vascular Border from Single Colonoscopy Image.
H Usami, Y Iwahori, MK Bhuyan, A Wang, N Ogasawara, K Kasugai
BIOIMAGING 2019, 104-111, 2019
Shape recovery of polyp using blood vessel detection and matching estimation by U-Net
H Toda, Y Iwahori, H Usami, B Kijsirikul, MK Bhuyan, N Ogasawara, ...
2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI …, 2019
Computational Science/Intelligence and Applied Informatics
R Lee
Springer, 2018
Cost reduction of creating likelihood map for automatic polyp detection using image pyramid
T Ooto, H Usami, Y Iwahori, A Wang, N Ogasawara, K Kasugai
2017 5th Intl Conf on Applied Computing and Information Technology/4th Intl …, 2017
3d shape recovery of polyp using two light sources endoscope
H Usami, Y Hanai, Y Iwahori, K Kasugai
2016 IEEE/ACIS 15th International Conference on Computer and Information …, 2016
Automatic generation of polyp image using depth map for endoscope dataset
H Yamane, S Fukui, Y Iwahori, H Usami, MK Bhuyan, N Ogasawara, ...
Procedia Computer Science 192, 2355-2364, 2021
Detection of Lymph Nodes using CNN from Contrast-Enhanced CT Images
T Ono, Y Iwahori, H Usami, B Kijsirikul, MK Bhuyan, T Oshiro, Y Shimizu
2020 9th International Congress on Advanced Applied Informatics (IIAI-AAI …, 2020
Mediastinal Lymph Node Detection using Deep Learning.
JP Singh, Y Iwahori, MK Bhuyan, H Usami, T Oshiro, Y Shimizu
ICPRAM, 159-166, 2020
Polyp Classification and Clustering from Endoscopic Images using Competitive and Convolutional Neural Networks.
A Kabra, Y Iwahori, H Usami, MK Bhuyan, N Ogasawara, K Kasugai
ICPRAM, 446-452, 2019
Recovering shape from endoscope image using eikonal equation
Y Iwahori, H Usami, M Bhuyan, A Wang, N Ogasawara, K Kasugai
PATTERNS 2021, 1-2, 2021
Proposal of a web learning support system using teaching materials based on degree of achievement and note-taking techniques
H Usami, A Sugimura, Y Adachi, M Ozaki
Procedia Computer Science 22, 1182-1191, 2013
Automatic detection of lst-type polyp by cnn using depth map
Y Iwahori, S Miyazaki, H Usami, MK Bhuyan, B Kijsirikul, A Wang, ...
Handbook of Artificial Intelligence in Healthcare: Vol. 1-Advances and …, 2022
Blood Vessel Structure Analysis in Endoscopic Images for Computer-Aided Diagnosis
S Kato, H Usami, Y Iwahori, A Okazaki, B Kijsirikul, N Ogasawara, ...
2020 9th International Congress on Advanced Applied Informatics (IIAI-AAI …, 2020
The system can't perform the operation now. Try again later.
Articles 1–20