Presentation 2012-01-19
Web-based CAD server for clinical use, evaluation, and incremental learning : Incremental learning of CAD software based on multicenter trial in teleradiology environment
Yukihiro NOMURA, Yoshitaka MASUTANI, Naoto HAYASHI, Soichiro MIKI, Mitsutaka NEMOTO, Shouhei HANAOKA, Takeharu YOSHIKAWA, Kuni OHTOMO,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) We have been building a web-based CAD server (CIRCUS CS) that enables radiologists to use CAD software and to give feedback in clinical environment. Collected feedback data enable us to improve performance of CAD software by incremental learning. The incremental learning in the clinical environment can play a key role in performance improvement when the modality data differ among hospitals or the modality is updated. In this short report, we investigated an incremental learning of CAD software based on multicenter trial in teleradiology environment. The simulation studies show that the performance indices were improved depending on the number of both additional TP cases and additional FP cases.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) computer assisted detection (CAD) / web-based CAD server / incremental learning / on-line learning / teleradiology environment
Paper # MI2011-81
Date of Issue

Conference Information
Committee MI
Conference Date 2012/1/12(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Medical Imaging (MI)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Web-based CAD server for clinical use, evaluation, and incremental learning : Incremental learning of CAD software based on multicenter trial in teleradiology environment
Sub Title (in English)
Keyword(1) computer assisted detection (CAD)
Keyword(2) web-based CAD server
Keyword(3) incremental learning
Keyword(4) on-line learning
Keyword(5) teleradiology environment
1st Author's Name Yukihiro NOMURA
1st Author's Affiliation Dept. of Radiology, The Univ. of Tokyo Hospital()
2nd Author's Name Yoshitaka MASUTANI
2nd Author's Affiliation Dept. of Radiology, The Univ. of Tokyo Hospital:Div. of Radiology and Biomedical Engineering, Graduate School of Medicine, The Univ. of Tokyo
3rd Author's Name Naoto HAYASHI
3rd Author's Affiliation Div. of Radiology and Biomedical Engineering, Graduate School of Medicine, The Univ. of Tokyo
4th Author's Name Soichiro MIKI
4th Author's Affiliation Div. of Radiology and Biomedical Engineering, Graduate School of Medicine, The Univ. of Tokyo
5th Author's Name Mitsutaka NEMOTO
5th Author's Affiliation Dept. of Radiology, The Univ. of Tokyo Hospital
6th Author's Name Shouhei HANAOKA
6th Author's Affiliation Dept. of Radiology, The Univ. of Tokyo Hospital
7th Author's Name Takeharu YOSHIKAWA
7th Author's Affiliation Dept. of Computational Diagnostic Radiology and Preventive Medicine, 22nd Century Medical and Research Center, The Univ. of Tokyo Hospital
8th Author's Name Kuni OHTOMO
8th Author's Affiliation Dept. of Radiology, The Univ. of Tokyo Hospital:Div. of Radiology and Biomedical Engineering, Graduate School of Medicine, The Univ. of Tokyo
Date 2012-01-19
Paper # MI2011-81
Volume (vol) vol.111
Number (no) 389
Page pp.pp.-
#Pages 6
Date of Issue