Presentation 2019-01-23
Detection of fetal part and depth estimation in ultrasound image using deep learning and Grad_CAM
Genta Ishikawa, Rong Xu, Jun Ohya, Hiroyasu Iwata,
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Abstract(in English)
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Paper # MI2018-107
Date of Issue 2019-01-15 (MI)

Conference Information
Committee MI
Conference Date 2019/1/22(2days)
Place (in Japanese) (See Japanese page)
Place (in English)
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Topics (in English) Medical Image Engineering, Analysis, Recognition, etc.
Chair Kensaku Mori(Nagoya Univ.)
Vice Chair Yoshiki Kawata(Tokushima Univ.) / Yuichi Kimura(Kinki Univ.)
Secretary Yoshiki Kawata(Aichi Inst. of Tech.) / Yuichi Kimura(Nagoya Inst. of Tech.)
Assistant Ryo Haraguchi(Univ. of Hyogo) / Yasushi Hirano(Yamaguchi Univ.)

Paper Information
Registration To Medical Imaging
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Detection of fetal part and depth estimation in ultrasound image using deep learning and Grad_CAM
Sub Title (in English)
Keyword(1)
Keyword(2)
Keyword(3)
Keyword(4)
Keyword(5)
Keyword(6)
1st Author's Name Genta Ishikawa
1st Author's Affiliation Waseda University(Waseda Univ)
2nd Author's Name Rong Xu
2nd Author's Affiliation Waseda University(Waseda Univ)
3rd Author's Name Jun Ohya
3rd Author's Affiliation Waseda University(Waseda Univ)
4th Author's Name Hiroyasu Iwata
4th Author's Affiliation Waseda University(Waseda Univ)
Date 2019-01-23
Paper # MI2018-107
Volume (vol) vol.118
Number (no) MI-412
Page pp.pp.197-202(MI),
#Pages 6
Date of Issue 2019-01-15 (MI)