Automated prostate gland segmentation in challenging clinical cases: comparison of three artificial intelligence methods.

Latrice A JohnsonStephanie A HarmonEnis C YilmazYue LinMason J BelueKatie M MerrimanNathan S LayThomas H SanfordKarthik V SarmaCorey W ArnoldZiyue XuHolger R RothDong YangJesse TetreaultDaguang XuKrishnan R PatelSandeep GurramBradford J WoodDeborah E CitrinPeter A PintoPeter L ChoykeIsmail Baris Turkbey

Published in: Abdominal radiology (New York) (2024)

Factors affecting anatomical and signal conditions of the prostate gland can adversely impact both DL and non-deep learning-based segmentation models.

Keyphrases

deep learning
artificial intelligence
prostate cancer
convolutional neural network
benign prostatic hyperplasia
big data
machine learning
high throughput