… Accurate segmentation of the prostate plays a key role in … segmentation method for prostate
ultrasound images, which is based on longitudinal image registration and machine learning. …

… a new hybrid model for accurate and robust prostate segmentation from TRUS images. The
… machine learning model; (3) a map mathematical function to generate the smooth prostate …

… T2-weighted images for the automated segmentation of both the prostate and PCa lesions.
… other proposed two-dimensional and three-dimensional prostate segmentation approaches. …

… A DL approach for prostate segmentation in freehand ultrasonography applied to an end-firing
probe in real time during biopsy was proposed by Anas and colleagues 35 . In freehand …

… In this section, we will review the literature, studying the ML and DL applications in prostate
MRI segmentation, registration, lesion detection and scoring, and treatment decision support, …

… Prostate segmentation is an important step in prostate volume … the prostate contour is
time-consuming and prone to inter- and intra-observer variability. Accurate prostate segmentation …

… of prostate segmentation and to discover a generalisable solution, we review the state-of-the-art
deep learning algorithms in MR prostate segmentation; … for AI machine learning. Data …

… works on prostate segmentation based 482 on machine learning and deep learning
techniques. … of deep 489 learning, automatic and semi-automatic machine learning- 490 based …

… We propose a supervised machine learning model that combines atlas based Active …
Learning model to segment the prostate on MR images. The performance of the segmentation …

… (prostate, bladder, anorectum, femoral head left and right) were auto-delineated on CT
acquisitions for 48 prostate … as input features for a machine learning classification model to predict …