Establishment of a deep-learning system to diagnose BI-RADS4a or higher using breast ultrasound for clinical application.
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| Title: | Establishment of a deep-learning system to diagnose BI-RADS4a or higher using breast ultrasound for clinical application. |
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| Authors: | Hayashida T; Department of Surgery, Keio University School of Medicine, Tokyo, Japan., Odani E; Department of Surgery, Keio University School of Medicine, Tokyo, Japan., Kikuchi M; Department of Surgery, Keio University School of Medicine, Tokyo, Japan., Nagayama A; Department of Surgery, Keio University School of Medicine, Tokyo, Japan., Seki T; Department of Surgery, Keio University School of Medicine, Tokyo, Japan., Takahashi M; Department of Surgery, Keio University School of Medicine, Tokyo, Japan., Futatsugi N; Fixstars Corporation, Tokyo, Japan., Matsumoto A; Department of Surgery, Teikyo University School of Medicine, Tokyo, Japan., Murata T; Department of Breast Surgery, National Cancer Center Hospital, Tokyo, Japan., Watanuki R; Department of Breast Surgery, National Cancer Center Hospital East, Chiba, Japan., Yokoe T; Department of Breast Surgery, National Cancer Center Hospital East, Chiba, Japan., Nakashoji A; Department of Breast Surgery, National Hospital Organization Tokyo Medical Center, Tokyo, Japan., Maeda H; Department of Breast and Thyroid Surgery, Kitasato University Kitasato Institute Hospital, Tokyo, Japan., Onishi T; Department of Breast Surgery, National Cancer Center Hospital East, Chiba, Japan., Asaga S; Department of Breast Surgery, Kyorin University School of Medicine, Tokyo, Japan., Hojo T; Department of Breast Oncology, Saitama Medical University International Medical Center, Saitama, Japan., Jinno H; Department of Surgery, Teikyo University School of Medicine, Tokyo, Japan., Sotome K; Department of Breast and Thyroid Surgery, Kitasato University Kitasato Institute Hospital, Tokyo, Japan., Matsui A; Department of Breast Surgery, National Hospital Organization Tokyo Medical Center, Tokyo, Japan., Suto A; Department of Breast Surgery, National Cancer Center Hospital, Tokyo, Japan., Imoto S; Department of Breast Surgery, Kyorin University School of Medicine, Tokyo, Japan., Kitagawa Y; Department of Surgery, Keio University School of Medicine, Tokyo, Japan. |
| Source: | Cancer science [Cancer Sci] 2022 Oct; Vol. 113 (10), pp. 3528-3534. Date of Electronic Publication: 2022 Aug 03. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Wiley Publishing on behalf of the Japanese Cancer Association Country of Publication: England NLM ID: 101168776 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1349-7006 (Electronic) Linking ISSN: 13479032 NLM ISO Abbreviation: Cancer Sci Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 35880248 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Establishment of a deep-learning system to diagnose BI-RADS4a or higher using breast ultrasound for clinical application. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Hayashida+T%22">Hayashida T</searchLink>; Department of Surgery, Keio University School of Medicine, Tokyo, Japan.<br /><searchLink fieldCode="AU" term="%22Odani+E%22">Odani E</searchLink>; Department of Surgery, Keio University School of Medicine, Tokyo, Japan.<br /><searchLink fieldCode="AU" term="%22Kikuchi+M%22">Kikuchi M</searchLink>; Department of Surgery, Keio University School of Medicine, Tokyo, Japan.<br /><searchLink fieldCode="AU" term="%22Nagayama+A%22">Nagayama A</searchLink>; Department of Surgery, Keio University School of Medicine, Tokyo, Japan.<br /><searchLink fieldCode="AU" term="%22Seki+T%22">Seki T</searchLink>; Department of Surgery, Keio University School of Medicine, Tokyo, Japan.<br /><searchLink fieldCode="AU" term="%22Takahashi+M%22">Takahashi M</searchLink>; Department of Surgery, Keio University School of Medicine, Tokyo, Japan.<br /><searchLink fieldCode="AU" term="%22Futatsugi+N%22">Futatsugi N</searchLink>; Fixstars Corporation, Tokyo, Japan.<br /><searchLink fieldCode="AU" term="%22Matsumoto+A%22">Matsumoto A</searchLink>; Department of Surgery, Teikyo University School of Medicine, Tokyo, Japan.<br /><searchLink fieldCode="AU" term="%22Murata+T%22">Murata T</searchLink>; Department of Breast Surgery, National Cancer Center Hospital, Tokyo, Japan.<br /><searchLink fieldCode="AU" term="%22Watanuki+R%22">Watanuki R</searchLink>; Department of Breast Surgery, National Cancer Center Hospital East, Chiba, Japan.<br /><searchLink fieldCode="AU" term="%22Yokoe+T%22">Yokoe T</searchLink>; Department of Breast Surgery, National Cancer Center Hospital East, Chiba, Japan.<br /><searchLink fieldCode="AU" term="%22Nakashoji+A%22">Nakashoji A</searchLink>; Department of Breast Surgery, National Hospital Organization Tokyo Medical Center, Tokyo, Japan.<br /><searchLink fieldCode="AU" term="%22Maeda+H%22">Maeda H</searchLink>; Department of Breast and Thyroid Surgery, Kitasato University Kitasato Institute Hospital, Tokyo, Japan.<br /><searchLink fieldCode="AU" term="%22Onishi+T%22">Onishi T</searchLink>; Department of Breast Surgery, National Cancer Center Hospital East, Chiba, Japan.<br /><searchLink fieldCode="AU" term="%22Asaga+S%22">Asaga S</searchLink>; Department of Breast Surgery, Kyorin University School of Medicine, Tokyo, Japan.<br /><searchLink fieldCode="AU" term="%22Hojo+T%22">Hojo T</searchLink>; Department of Breast Oncology, Saitama Medical University International Medical Center, Saitama, Japan.<br /><searchLink fieldCode="AU" term="%22Jinno+H%22">Jinno H</searchLink>; Department of Surgery, Teikyo University School of Medicine, Tokyo, Japan.<br /><searchLink fieldCode="AU" term="%22Sotome+K%22">Sotome K</searchLink>; Department of Breast and Thyroid Surgery, Kitasato University Kitasato Institute Hospital, Tokyo, Japan.<br /><searchLink fieldCode="AU" term="%22Matsui+A%22">Matsui A</searchLink>; Department of Breast Surgery, National Hospital Organization Tokyo Medical Center, Tokyo, Japan.<br /><searchLink fieldCode="AU" term="%22Suto+A%22">Suto A</searchLink>; Department of Breast Surgery, National Cancer Center Hospital, Tokyo, Japan.<br /><searchLink fieldCode="AU" term="%22Imoto+S%22">Imoto S</searchLink>; Department of Breast Surgery, Kyorin University School of Medicine, Tokyo, Japan.<br /><searchLink fieldCode="AU" term="%22Kitagawa+Y%22">Kitagawa Y</searchLink>; Department of Surgery, Keio University School of Medicine, Tokyo, Japan. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101168776%22">Cancer science</searchLink> [Cancer Sci] 2022 Oct; Vol. 113 (10), pp. 3528-3534. <i>Date of Electronic Publication: </i>2022 Aug 03. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Wiley+Publishing+on+behalf+of+the+Japanese+Cancer+Association%22">Wiley Publishing on behalf of the Japanese Cancer Association </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101168776 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1349-7006 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2213479032%22">13479032 </searchLink><i>NLM ISO Abbreviation: </i>Cancer Sci <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=35880248 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1111/cas.15511 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 3528 Titles: – TitleFull: Establishment of a deep-learning system to diagnose BI-RADS4a or higher using breast ultrasound for clinical application. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Hayashida T – PersonEntity: Name: NameFull: Odani E – PersonEntity: Name: NameFull: Kikuchi M – PersonEntity: Name: NameFull: Nagayama A – PersonEntity: Name: NameFull: Seki T – PersonEntity: Name: NameFull: Takahashi M – PersonEntity: Name: NameFull: Futatsugi N – PersonEntity: Name: NameFull: Matsumoto A – PersonEntity: Name: NameFull: Murata T – PersonEntity: Name: NameFull: Watanuki R – PersonEntity: Name: NameFull: Yokoe T – PersonEntity: Name: NameFull: Nakashoji A – PersonEntity: Name: NameFull: Maeda H – PersonEntity: Name: NameFull: Onishi T – PersonEntity: Name: NameFull: Asaga S – PersonEntity: Name: NameFull: Hojo T – PersonEntity: Name: NameFull: Jinno H – PersonEntity: Name: NameFull: Sotome K – PersonEntity: Name: NameFull: Matsui A – PersonEntity: Name: NameFull: Suto A – PersonEntity: Name: NameFull: Imoto S – PersonEntity: Name: NameFull: Kitagawa Y IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: 2022 Oct Type: published Y: 2022 Identifiers: – Type: issn-electronic Value: 1349-7006 Numbering: – Type: volume Value: 113 – Type: issue Value: 10 Titles: – TitleFull: Cancer science Type: main |
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