default author photo

Wai Po Kevin Teng

Qritive Pte. Ltd

SCHOLARLY PAPERS

1

DOWNLOADS

53

TOTAL CITATIONS

0

Scholarly Papers (1)

Actions:
Email selected abstracts
1.

Improving the Accuracy of Reporting Ki-67 Ihc by Using an Ai Tool

Number of pages: 20 Posted: 21 May 2024
Sahil Ajit Saraf, Aahan Singh, Wai Po Kevin Teng, Sencer Karakaya, M Logaswari, Kaveh Taghipour, Rajasa Jialdasani, Li Yan Khor, Kiat Hon Lim, Sathiyamoorthy Selvarajan, Vani Ravikumar, Md Ali Osama, Priti Chatterjee and KV Santosh
Qritive Pte. Ltd, Qritive Pte. Ltd, Qritive Pte. Ltd, Qritive Pte. Ltd, National University of Singapore (NUS) - Singapore General Hospital, Qritive Pte. Ltd, Qritive Pte. Ltd, National University of Singapore (NUS) - Singapore General Hospital, National University of Singapore (NUS) - Singapore General Hospital, National University of Singapore (NUS) - Singapore General Hospital, Duke-NUS Graduate Medical School Singapore, Lady Hardinge Medical College, Lady Hardinge Medical College and RV Metropolis Diagnostic & Healthcare Center Pv Ltd.
Downloads 53 (1,031,043)

Abstract:

Loading...

Artificial Intelligence, Machine learning, Ki-67, Sarcoma, Inter-Observer Variability, concordance, Immunohistochemistry, Nuclear Stain Prognosis