[HTML][HTML] Three-dimensional convolutional neural network model to identify clinically significant prostate cancer in transrectal ultrasound videos: a prospective, multi …
YK Sun, BY Zhou, Y Miao, YL Shi, SH Xu, DM Wu… - …, 2023 - thelancet.com
Background Identifying patients with clinically significant prostate cancer (csPCa) before
biopsy helps reduce unnecessary biopsies and improve patient prognosis. The diagnostic …
biopsy helps reduce unnecessary biopsies and improve patient prognosis. The diagnostic …
[HTML][HTML] Three-dimensional convolutional neural network model to identify clinically significant prostate cancer in transrectal ultrasound videos: a prospective, multi …
YK Sun, BY Zhou, Y Miao, YL Shi, SH Xu… - …, 2023 - ncbi.nlm.nih.gov
Background Identifying patients with clinically significant prostate cancer (csPCa) before
biopsy helps reduce unnecessary biopsies and improve patient prognosis. The diagnostic …
biopsy helps reduce unnecessary biopsies and improve patient prognosis. The diagnostic …
[HTML][HTML] Three-dimensional convolutional neural network model to identify clinically significant prostate cancer in transrectal ultrasound videos: a prospective, multi …
YK Sun, BY Zhou, Y Miao, YL Shi, SH Xu, DM Wu… - eClinicalMedicine, 2023 - Elsevier
Background Identifying patients with clinically significant prostate cancer (csPCa) before
biopsy helps reduce unnecessary biopsies and improve patient prognosis. The diagnostic …
biopsy helps reduce unnecessary biopsies and improve patient prognosis. The diagnostic …
Three-dimensional convolutional neural network model to identify clinically significant prostate cancer in transrectal ultrasound videos: a prospective, multi-institutional …
YK Sun, BY Zhou, Y Miao, YL Shi, SH Xu, DM Wu… - …, 2023 - europepmc.org
Background Identifying patients with clinically significant prostate cancer (csPCa) before
biopsy helps reduce unnecessary biopsies and improve patient prognosis. The diagnostic …
biopsy helps reduce unnecessary biopsies and improve patient prognosis. The diagnostic …
Three-dimensional convolutional neural network model to identify clinically significant prostate cancer in transrectal ultrasound videos: a prospective, multi-institutional …
YK Sun, BY Zhou, Y Miao, YL Shi, SH Xu… - …, 2023 - pubmed.ncbi.nlm.nih.gov
Background Identifying patients with clinically significant prostate cancer (csPCa) before
biopsy helps reduce unnecessary biopsies and improve patient prognosis. The diagnostic …
biopsy helps reduce unnecessary biopsies and improve patient prognosis. The diagnostic …