Artificial intelligence (AI) assisted detection of FGFR3 alterations in bladder cancer from scanned whole slide images (WSI) of H&E sections Meeting Abstract
| Authors: | Kunz, J.; Wang, Y.; Bernhard, J.; Ramirezpadron, R.; Al-Ahmadie, H.; Vanderbilt, C.; Kanan, C.; Oakley, J.; Klimstra, D.; Fuchs, T. |
| Abstract Title: | Artificial intelligence (AI) assisted detection of FGFR3 alterations in bladder cancer from scanned whole slide images (WSI) of H&E sections |
| Meeting Title: | 113th Annual Meeting of the United States and Canadian Academy of Pathology (USCAP) - Bringing Education to Life |
| Journal Title: | Laboratory Investigation |
| Volume: | 104 |
| Issue: | 3 Suppl. |
| Meeting Dates: | 2024 Mar 23-28 |
| Meeting Location: | Baltimore, MD |
| ISSN: | 0023-6837 |
| Publisher: | Nature Publishing Group |
| Date Published: | 2024-03-01 |
| Start Page: | S985 |
| Language: | English |
| ACCESSION: | WOS:001302363403079 |
| PROVIDER: | wos |
| DOI: | 10.1016/j.labinv.2024.101057 |
| Notes: | Meeting Abstract: 783 -- Located in the section "Genitourinary pathology (including renal tumors)" (Article Number: 101057) -- Source: Wos |
