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See-Tong Pang on Muck Rack

See-Tong Pang

As seen in: MDPI, BMC Cancer, Genome Biology, UroToday, Academic Radiology, BJU International Journal
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Articles

Automated Kidney Tumor Segmentation in CT Images Using Deep Learning: A Multi-Stage Approach

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By Hung-Cheng Kan, Geng-Ming Fan, Ming-Hao Wei, Po-Hung Lin, I-Hung Shao, Kai-Jie Yu, Ti-Hsuan Chien, See-Tong Pang, Chun-Te Wu, Syu-Jyun Peng
| Academic Radiology Verified
Original InvestigationArticles in PressOpen access aIn-Service Master Program in Artificial Intelligence in Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan (H.-C.K., S.-J.P.) bDivision of Urology, Department of Surgery, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan (H.-C.K., P-H.L., I.-H.S., K.-J.Y., S.-T.P., T.W.) cCollege of Medicine, Chang Gung University, Taoyuan, Taiwan (H.-C.K., P-H.L., I.-H.S., K.-J.Y., S.-T.P., T.W.) dDepartment of General Medicine,...
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First validation of the Prostatype® P‐score in an Asian cohort: Improving risk stratification for prostate cancer

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By See-Tong Pang, Po-Hung Lin, Emelie Berglund, Lidi Xu
| BJU International Journal Verified
1 INTRODUCTION Prostate cancer (PCa) is the second most common cancer worldwide, accounting for 14.1% of newly diagnosed cancers in men.1 While advances in early detection and treatment have improved outcomes for many patients, effective management of PCa remains challenging due to the complexity of risk stratification.
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Urinary MicroRNA-21 for Prostate Cancer Detection Using a Silver Nanoparticle Sensor: A Promising Diagnostic Tool

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By See-Tong Pang, Yueh-Er Chiou, Jasmine Lim, Yi-Chun Zhang
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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