Presentation 2020-01-29
Analysis of disease classification and musculoskeletal anatomy using medical images and radiology reports in a large-scale medical image database
Shuhei Honda, Yoshito Otake, Masaki Takao, Eiji Aramaki, Shuntaro Yada, Yuta Hiasa, Kento Aida, Shinichi Sato, Akihiro Nishie, Nobuhiko Sugano, Yoshinobu Sato,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Recently, the environment for the analysis of large databases, such as the large-scale medical image database, have been constructed. Due to this, our research group has been developed an automatic analysis system to analyze musculoskeletal anatomical parameters by gender and age using convolutional neural network (CNN). However, patient-specific backgrounds such as disease are not known, so it is necessary to clarify patient-specific backgrounds to acquire new medical knowledge. In this study, in order to clarify the patient-specific background, a radiology report created by a radiologist when CT images were taken was analyzed by natural language processing to classify diseases. In addition, we analyze the relationship between musculoskeletal anatomical parameters and disease classification, and attempt to acquire new medical knowledge.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) CT Image / Radiology Report / NLP / CNN / BERT / Medical Image Database
Paper # MI2019-69
Date of Issue 2020-01-22 (MI)

Conference Information
Committee MI
Conference Date 2020/1/29(2days)
Place (in Japanese) (See Japanese page)
Place (in English) OKINAWAKEN SEINENKAIKAN
Topics (in Japanese) (See Japanese page)
Topics (in English) Medical Image Engineering, Analysis, Recognition, etc.
Chair Yoshiki Kawata(Tokushima Univ.)
Vice Chair Takayuki Kitasaka(Aichi Inst. of Tech.) / Hidekata Hontani(Nagoya Inst. of Tech.)
Secretary Takayuki Kitasaka(Yamaguchi Univ.) / Hidekata Hontani(Univ. of Hyogo)
Assistant Hotaka Takizawa(Tsukuba Univ.) / Yoshito Otake(NAIST)

Paper Information
Registration To Technical Committee on Medical Imaging
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Analysis of disease classification and musculoskeletal anatomy using medical images and radiology reports in a large-scale medical image database
Sub Title (in English)
Keyword(1) CT Image
Keyword(2) Radiology Report
Keyword(3) NLP
Keyword(4) CNN
Keyword(5) BERT
Keyword(6) Medical Image Database
1st Author's Name Shuhei Honda
1st Author's Affiliation Nara Institute of Science and Technology(NAIST)
2nd Author's Name Yoshito Otake
2nd Author's Affiliation Nara Institute of Science and Technology(NAIST)
3rd Author's Name Masaki Takao
3rd Author's Affiliation Osaka University(Osaka Univ.)
4th Author's Name Eiji Aramaki
4th Author's Affiliation Nara Institute of Science and Technology(NAIST)
5th Author's Name Shuntaro Yada
5th Author's Affiliation Nara Institute of Science and Technology(NAIST)
6th Author's Name Yuta Hiasa
6th Author's Affiliation Nara Institute of Science and Technology(NAIST)
7th Author's Name Kento Aida
7th Author's Affiliation National Institute of Informatics(NII)
8th Author's Name Shinichi Sato
8th Author's Affiliation National Institute of Informatics(NII)
9th Author's Name Akihiro Nishie
9th Author's Affiliation Kyushu University(Kyushu Univ.)
10th Author's Name Nobuhiko Sugano
10th Author's Affiliation Osaka University(Osaka Univ.)
11th Author's Name Yoshinobu Sato
11th Author's Affiliation Nara Institute of Science and Technology(NAIST)
Date 2020-01-29
Paper # MI2019-69
Volume (vol) vol.119
Number (no) MI-399
Page pp.pp.19-22(MI),
#Pages 4
Date of Issue 2020-01-22 (MI)