Assessment of a novel bpMRI-based machine learning framework to automate the detection of clinically significant prostate cancer using the PI-CAI (Prostate Imaging: Cancer AI) challenge dataset

Autor:	G. Cacciamani, M. Kaneko, V. Magouliantis, Y. Yang, V. Duddalwar, C-C.J. Kuo, I.S. Gill, A.L. Abreu, C.L. Nikias
Rok vydání:	2023
Předmět:	Urology
Zdroj:	European Urology. 83:S1398-S1399
ISSN:	0302-2838
DOI:	10.1016/s0302-2838(23)01017-5
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::ec802b9a3b89c15f0dafb9724e806249 https://doi.org/10.1016/s0302-2838(23)01017-5 Zobrazit plný text záznamu Full Text from ScienceDirect