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Automated detection of pediatric forearm fractures in X-ray images using deep learning.

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Title: Automated detection of pediatric forearm fractures in X-ray images using deep learning.
Authors: Suzuki H; Graduate School of Science and Technology, Meijo University, 1-501 Shiogamaguchi, Tempaku-ku, Nagoya, 468-8502, Aichi, Japan., Teramoto A; Graduate School of Science and Technology, Meijo University, 1-501 Shiogamaguchi, Tempaku-ku, Nagoya, 468-8502, Aichi, Japan. teramoto@meijo-u.ac.jp., Honmoto T; Ibaraki Children's Hospital, 3-3-1 Futabadai, Mito, 311-4145, Ibaraki, Japan., Niki A; Ibaraki Children's Hospital, 3-3-1 Futabadai, Mito, 311-4145, Ibaraki, Japan., Kono T; Department of Radiology, Tokyo Metropolitan Children's Medical Center, 2-8-29,Musashidai, Tokyo, 183-8561, Fuchu, Japan., Fujita H; Faculty of Engineering, Gifu University, 1-1,Yanagido, Gifu, 501-1194, Japan.
Source: Radiological physics and technology [Radiol Phys Technol] 2026 Jun; Vol. 19 (2), pp. 830-841. Date of Electronic Publication: 2026 May 06.
Publication Type: Journal Article
Journal Info: Publisher: Springer Japan Country of Publication: Japan NLM ID: 101467995 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1865-0341 (Electronic) Linking ISSN: 18650333 NLM ISO Abbreviation: Radiol Phys Technol Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Automated detection of pediatric forearm fractures in X-ray images using deep learning.
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  Data: <searchLink fieldCode="AU" term="%22Suzuki+H%22">Suzuki H</searchLink>; Graduate School of Science and Technology, Meijo University, 1-501 Shiogamaguchi, Tempaku-ku, Nagoya, 468-8502, Aichi, Japan.<br /><searchLink fieldCode="AU" term="%22Teramoto+A%22">Teramoto A</searchLink>; Graduate School of Science and Technology, Meijo University, 1-501 Shiogamaguchi, Tempaku-ku, Nagoya, 468-8502, Aichi, Japan. teramoto@meijo-u.ac.jp.<br /><searchLink fieldCode="AU" term="%22Honmoto+T%22">Honmoto T</searchLink>; Ibaraki Children's Hospital, 3-3-1 Futabadai, Mito, 311-4145, Ibaraki, Japan.<br /><searchLink fieldCode="AU" term="%22Niki+A%22">Niki A</searchLink>; Ibaraki Children's Hospital, 3-3-1 Futabadai, Mito, 311-4145, Ibaraki, Japan.<br /><searchLink fieldCode="AU" term="%22Kono+T%22">Kono T</searchLink>; Department of Radiology, Tokyo Metropolitan Children's Medical Center, 2-8-29,Musashidai, Tokyo, 183-8561, Fuchu, Japan.<br /><searchLink fieldCode="AU" term="%22Fujita+H%22">Fujita H</searchLink>; Faculty of Engineering, Gifu University, 1-1,Yanagido, Gifu, 501-1194, Japan.
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  Data: <searchLink fieldCode="JN" term="%22101467995%22">Radiological physics and technology</searchLink> [Radiol Phys Technol] 2026 Jun; Vol. 19 (2), pp. 830-841. <i>Date of Electronic Publication: </i>2026 May 06.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer+Japan%22">Springer Japan </searchLink><i>Country of Publication: </i>Japan <i>NLM ID: </i>101467995 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1865-0341 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2218650333%22">18650333 </searchLink><i>NLM ISO Abbreviation: </i>Radiol Phys Technol <i>Subsets: </i>MEDLINE
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        Value: 10.1007/s12194-026-01061-x
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      – Code: eng
        Text: English
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      – TitleFull: Automated detection of pediatric forearm fractures in X-ray images using deep learning.
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              Text: 2026 Jun
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