Presentation 2022-01-24
Toward Generating Virtual-High-Dose Breast Tomosynthesis Images from Low-Dose Images Using MTANN
Fahad Parvez Mahdi, Yuto Onai, Ze Jin, Kenji Suzuki,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English)
Keyword(in Japanese) (See Japanese page)
Keyword(in English)
Paper # IE2021-32
Date of Issue 2022-01-17 (IE)

Conference Information
Committee IE
Conference Date 2022/1/24(1days)
Place (in Japanese) (See Japanese page)
Place (in English) National Institute of Informatics
Topics (in Japanese) (See Japanese page)
Topics (in English) Image Processing, Image Coding, etc.
Chair Kazuya Kodama(NII)
Vice Chair Hiroyuki Bandoh(NTT) / Toshihiko Yamazaki(Univ. of Tokyo)
Secretary Hiroyuki Bandoh(KDDI Research) / Toshihiko Yamazaki(Nagoya Inst. of Tech.)
Assistant Shunsuke Iwamura(NHK) / Shinobu Kudo(NTT)

Paper Information
Registration To Technical Committee on Image Engineering
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Toward Generating Virtual-High-Dose Breast Tomosynthesis Images from Low-Dose Images Using MTANN
Sub Title (in English)
Keyword(1)
1st Author's Name Fahad Parvez Mahdi
1st Author's Affiliation Tokyo Institute of Technology(Tokyo Tech)
2nd Author's Name Yuto Onai
2nd Author's Affiliation Tokyo Institute of Technology(Tokyo Tech)
3rd Author's Name Ze Jin
3rd Author's Affiliation Tokyo Institute of Technology(Tokyo Tech)
4th Author's Name Kenji Suzuki
4th Author's Affiliation Tokyo Institute of Technology(Tokyo Tech)
Date 2022-01-24
Paper # IE2021-32
Volume (vol) vol.121
Number (no) IE-346
Page pp.pp.27-32(IE),
#Pages 6
Date of Issue 2022-01-17 (IE)