{"title":"使用数字乳腺断层合成图像的乳腺癌深度学习模型中,下采样大小和解释方法对诊断准确性的影响。","authors":"Ryusei Inamori, Tomofumi Kaneno, Ken Oba, Eichi Takaya, Daisuke Hirahara, Tomoya Kobayashi, Kurara Kawaguchi, Maki Adachi, Daiki Shimokawa, Kengo Takahashi, Hiroko Tsunoda, Takuya Ueda","doi":"10.1620/tjem.2024.J071","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":23187,"journal":{"name":"Tohoku Journal of Experimental Medicine","volume":null,"pages":null},"PeriodicalIF":1.7000,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Impact of Downsampling Size and Interpretation Methods on Diagnostic Accuracy in Deep Learning Model for Breast Cancer Using Digital Breast Tomosynthesis Images.\",\"authors\":\"Ryusei Inamori, Tomofumi Kaneno, Ken Oba, Eichi Takaya, Daisuke Hirahara, Tomoya Kobayashi, Kurara Kawaguchi, Maki Adachi, Daiki Shimokawa, Kengo Takahashi, Hiroko Tsunoda, Takuya Ueda\",\"doi\":\"10.1620/tjem.2024.J071\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":23187,\"journal\":{\"name\":\"Tohoku Journal of Experimental Medicine\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.7000,\"publicationDate\":\"2024-07-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Tohoku Journal of Experimental Medicine\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1620/tjem.2024.J071\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MEDICINE, GENERAL & INTERNAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Tohoku Journal of Experimental Medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1620/tjem.2024.J071","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MEDICINE, GENERAL & INTERNAL","Score":null,"Total":0}
Impact of Downsampling Size and Interpretation Methods on Diagnostic Accuracy in Deep Learning Model for Breast Cancer Using Digital Breast Tomosynthesis Images.
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