Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Gokberk Zeybel"'
Autor:
Ahmet Karagoz, Deniz Alis, Mustafa Ege Seker, Gokberk Zeybel, Mert Yergin, Ilkay Oksuz, Ercan Karaarslan
Publikováno v:
Insights into Imaging, Vol 14, Iss 1, Pp 1-11 (2023)
Abstract Objective To evaluate the effectiveness of a self-adapting deep network, trained on large-scale bi-parametric MRI data, in detecting clinically significant prostate cancer (csPCa) in external multi-center data from men of diverse demographic
Externí odkaz:
https://doaj.org/article/b825d9c511e44c1e94a03423ff5a23f1
Autor:
Aydan Arslan, Deniz Alis, Servet Erdemli, Mustafa Ege Seker, Gokberk Zeybel, Sabri Sirolu, Serpil Kurtcan, Ercan Karaarslan
Publikováno v:
Insights into Imaging, Vol 14, Iss 1, Pp 1-10 (2023)
Key points Radiologists with varying experiences assigned the scores with and without the DL. The radiologists infrequently changed their initial PI-RADS scores. The DL software did not improve the PI-RADS scoring consistency. The DL software did not
Externí odkaz:
https://doaj.org/article/6a58ba5ed4d642e8b45485005b92430d