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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| 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: | |
| Online Access: | https://doi.org/10.1186/s12880-025-01606-3 |
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