Classification of retinoblastoma-1 gene mutation with machine learning-based models in bladder cancer

Classification of retinoblastoma-1 gene mutation with machine learning-based models in bladder cancer

Purpose: This study aims to evaluate the potential of machine learning algorithms built with radiomics features from computed tomography urography (CTU) images that classify RB1 gene mutation status in bladder cancer. Method: The study enrolled CTU images of 18 patients with and 54 without RB1 mutat...

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Váldodahkkit: Okan İnce, Hülya Yıldız, Tanju Kisbet, Şükrü Mehmet Ertürk, Hakan Önder
Materiálatiipa: Artihkal
Giella:English
Almmustuhtton: Elsevier 2022-04-01
Ráidu:Heliyon
Fáttát:
Bladder
Computer applications-detection
Diagnosis
CT
Liŋkkat:http://www.sciencedirect.com/science/article/pii/S2405844022005990

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