A New Method of Artificial-Intelligence-Based Automatic Identification of Lymphovascular Invasion in Urothelial Carcinomas.

Autor: Ceachi, Bogdan^1,2,3 (AUTHOR) ceachi.bogdan@gmail.com, Cioplea, Mirela^1,2 (AUTHOR) julian.dcruz@zaya.ai, Mustatea, Petronel^2,4 (AUTHOR), Gerald Dcruz, Julian² (AUTHOR), Zurac, Sabina^1,2,5 (AUTHOR) alexandra_oprisan@yahoo.com, Cauni, Victor⁶ (AUTHOR) sabina_zurac@yahoo.com, Popp, Cristiana^1,2 (AUTHOR) cristian.mogodici@zaya.ai, Mogodici, Cristian^1,2 (AUTHOR) liana_ro2004@yahoo.com, Sticlaru, Liana^1,2 (AUTHOR) dragusin_alexandra88@yahoo.com, Cioroianu, Alexandra^1,2,5 (AUTHOR) thanatogenesis@gmail.com, Busca, Mihai^1,2 (AUTHOR) oana.stefan93@yahoo.com, Stefan, Oana¹ (AUTHOR) irinafrincu@yahoo.com, Tudor, Irina¹ (AUTHOR) carmendumitru2004@yahoo.com, Dumitru, Carmen¹ (AUTHOR) alexandra.vilaia@gmail.com, Vilaia, Alexandra^1,2,5 (AUTHOR) alexandra.bastian@umfcd.ro, Oprisan, Alexandra^5,7 (AUTHOR), Bastian, Alexandra^1,5 (AUTHOR) luciana.nichita@umfcd.ro, Nichita, Luciana^1,2,5 (AUTHOR)

Publikováno v: Diagnostics (2075-4418). Feb2024, Vol. 14 Issue 4, p432. 17p.

Data on Artificial Intelligence Detailed by a Researcher at Colentina University Hospital (A New Method of Artificial-Intelligence-Based Automatic Identification of Lymphovascular Invasion in Urothelial Carcinomas).

Publikováno v: Clinical Oncology Week; 2024, p295-295, 1p