A new era: artificial intelligence and machine learning in prostate cancer

By S. Goldenberg, G. Nir, Septimiu E. Salcudean. Nature reviews. Urology, 2019

442 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Health Informatics, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/b4837db484f1858709aa0ffc516b4dbd3fdd842d

Citations in the corpus

• Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge (2022, unknown): “GG 5 973 (19) 251 (5) 27 (14) 16 (8) 41 (12) 21 (10) 27 (4) 26 (8) 1,382 (11)”