Using deep learning to differentiate among histology renal tumor types in computed tomography scans

Using deep learning to differentiate among histology renal tumor types in computed tomography scans

Abstract Background This study employed a convolutional neural network (CNN) to analyze computed tomography (CT) scans with the aim of differentiating among renal tumors according to histologic sub-type. Methods Contrast-enhanced CT images were collected from patients with renal tumors. The patient...

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Bibliographic Details
Main Authors: Hung-Cheng Kan, Po-Hung Lin, I-Hung Shao, Shih-Chun Cheng, Tzuo-Yau Fan, Ying-Hsu Chang, Liang-Kang Huang, Yuan-Cheng Chu, Kai-Jie Yu, Cheng-Keng Chuang, Chun-Te Wu, See-Tong Pang, Syu-Jyun Peng
Format: Article
Language:English
Published: BMC 2025-02-01
Series:BMC Medical Imaging
Subjects:
Artificial intelligence
Deep learning
Renal tumor
Histology
Online Access:https://doi.org/10.1186/s12880-025-01606-3
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https://doi.org/10.1186/s12880-025-01606-3

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