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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 6 of 6  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
MI, MICT 2023-11-14
13:20
Fukuoka   Medical image diagnosis support system with image anonymization based on deep learning techniques
Katsuto Iwai, Ryuunosuke Kounosu (Toho Univ./AIST), Hirokazu Nosato (AIST), Yuu Nakajima (Toho Univ.) MICT2023-30 MI2023-23
When medical imaging AI models are hosted on cloud service there is a risk of sensitive medical images being leaked when... [more] MICT2023-30 MI2023-23
pp.21-24
MI, MICT 2023-11-14
15:00
Fukuoka   Pre-training without natural images for Cystoscopic AI Diagnosis of Bladder Cancer
Ryuunosuke Kounosu (AIST/Toho Univ.), Wonjik Kim (AIST), Atsushi Ikeda (Univ. of Tsukuba), Hirokazu Nosato (AIST), Yuu Nakajima (Toho Univ.) MICT2023-34 MI2023-27
When developing AI models, it is sometimes difficult to collect sufficient training data. In these cases, pre-trained AI... [more] MICT2023-34 MI2023-27
pp.37-40
PRMU 2020-12-17
17:00
Online Online Learning Method for Ambiguous Lesion Boundaries in Endoscopy Images
Yuta Kochi (Univ. of Tsukuba/AIST), Hirokazu Nosato (AIST), Atsushi Ikeda (Univ. of Tsukuba Hosp.), Hidenori Sakanashi (AIST) PRMU2020-51
(To be available after the conference date) [more] PRMU2020-51
pp.75-79
PRMU, MI, IPSJ-CVIM [detail] 2019-09-05
14:25
Okayama   Mixed Domain Learning for Computer-aided Diagnosis of Endoscopy Images in Deep Convolutional Neural Networks
Yuta Kochi (Tsukuba Univ./AIST), Hirokazu Nosato, Masahiro Murakawa, Hidenori Sakanashi (AIST) PRMU2019-30 MI2019-49
(To be available after the conference date) [more] PRMU2019-30 MI2019-49
pp.135-138
MICT, MI 2018-11-06
18:20
Hyogo University of Hyogo Computer-aided Diagnosis for Cystoscopy Images based on Knowledge Transfer from Gastroscopic Diagnosis in Deep Convolutional Neural Networks
Hirokazu Nosato, Yuta Kochi, Masahiro Murakawa, Hidenori Sakanashi (AIST), Atsushi Ikeda (Tsukuba Univ.), Tomohiro Tada (Tada Tomohiro Institute of Gastroenterology and Proctology/AIM), Hiroyuki Nishiyama (Tsukuba Univ.) MICT2018-58 MI2018-58
(To be available after the conference date) [more] MICT2018-58 MI2018-58
pp.83-88
MI 2015-03-03
13:40
Okinawa Hotel Miyahira A Study on Lesion Detection from Breast Ultrasound Images Based on Difference of Texture Change between Adjacent Regions
Yudai Yamazaki (Univ. of Tsukuba), Masaya Iwata, Hirokazu Nosato, Eiichi Takahashi, Hidenori Sakanashi (AIST) MI2014-111
In this paper, we propose a novel lesion detection method for breast ultrasound images.
In breast ultrasound images, t... [more]
MI2014-111
pp.283-288
 Results 1 - 6 of 6  /   
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