Diagnostic Performance of Deep Learning Applications in Hepatocellular Carcinoma Detection Using Computed Tomography Imaging

Diagnostic Performance of Deep Learning Applications in Hepatocellular Carcinoma Detection Using Computed Tomography Imaging

Background/Aims: Hepatocellular carcinoma (HCC) is a prevalent cancer that significantly contributes to mortality globally, primarily due to its late diagnosis. Early detection is crucial yet challenging. This study leverages the potential of deep learning (DL) technologies, employing the You Only L...

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Main Authors: Enes Şahin, Ozan Can Tatar, Mehmet Eşref Ulutaş, Sertaç Ata Güler, Turgay Şimşek, Nihat Zafer Utkan, Nuh Zafer Cantürk
Format: Article
Language:English
Published: AVES 2025-02-01
Series:The Turkish Journal of Gastroenterology
Online Access:https://www.turkjgastroenterol.org/en/diagnostic-performance-of-deep-learning-applications-in-hepatocellular-carcinoma-detection-u-computed-tomography-imaging-137310
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