利用机器学习开发的基于弥散加权成像的放射组学模型可以预测子宫内膜癌的微卫星不稳定性。

{"title":"利用机器学习开发的基于弥散加权成像的放射组学模型可以预测子宫内膜癌的微卫星不稳定性。","authors":"Meng Zhang, Xuejia Wang, Zhong Li, Wenling Liu, Xuekun Li, Xingxing Jin, Jinxia Guo, Kaiyu Wang, Yuxia Li, Jipeng Ren","doi":"10.1186/s12880-025-01944-2","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":9020,"journal":{"name":"BMC Medical Imaging","volume":"25 1","pages":"405"},"PeriodicalIF":3.2000,"publicationDate":"2025-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A radiomics model based on diffusion-weighted imaging developed using machine learning enables prediction of microsatellite instability in endometrial cancer.\",\"authors\":\"Meng Zhang, Xuejia Wang, Zhong Li, Wenling Liu, Xuekun Li, Xingxing Jin, Jinxia Guo, Kaiyu Wang, Yuxia Li, Jipeng Ren\",\"doi\":\"10.1186/s12880-025-01944-2\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":9020,\"journal\":{\"name\":\"BMC Medical Imaging\",\"volume\":\"25 1\",\"pages\":\"405\"},\"PeriodicalIF\":3.2000,\"publicationDate\":\"2025-10-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"BMC Medical Imaging\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1186/s12880-025-01944-2\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMC Medical Imaging","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s12880-025-01944-2","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING","Score":null,"Total":0}