Prediction of carcinogenic human papillomavirus types in cervical cancer from multiparametric magnetic resonance images with machine learning-based radiomics models.

Detalles Bibliográficos
Publicado en:Diagnostic & Interventional Radiology Vol. 29; no. 3; pp. 460 - 469
Autores principales: İnce, Okan, Uysal, Emre, Durak, Görkem, Önol, Suzan, Yılmaz, Binnur Dönmez, Ertürk, Şükrü Mehmet, Önder, Hakan
Formato: Journal Article
Publicado: Galenos Yayinevi Tic. LTD. STI May2023
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Prediction of carcinogenic human papillomavirus types in cervical cancer from multiparametric magnetic resonance images with machine learning-based radiomics models.
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          İnce, Okan
          Uysal, Emre
          Durak, Görkem
          Önol, Suzan
          Yılmaz, Binnur Dönmez
          Ertürk, Şükrü Mehmet
          Önder, Hakan
        affil: Clinic of Radiology, University of Health Sciences Turkey, Prof. Dr. Cemil Taşcığlu City Hospital, İstanbul, Turkey
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      pubtype: Academic Journal
      doctype: Journal Article
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    language: English
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