See-Tong Pang

According to our database, See-Tong Pang authored at least 2 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

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

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

BMC Medical Imaging, December, 2025

2021

High-Sensitivity Dual-Probe Detection of Urinary miR-141 in Cancer Patients via a Modified Screen-Printed Carbon Electrode-Based Electrochemical Biosensor.

Wai-Hung Leung, Chi-Chia Pang, Sow-Neng Pang, Sheng-Xiang Weng, Yu-Lun Lin, Yueh-Er Chiou, See-Tong Pang, Wen-Hui Weng

Sensors, 2021