… In recent years, particularly the last decade, the field of Machine Learning (ML) and Deep
Learning (DL) has seen exponential growth and has produced models that have shown …

… detection and segmentation on 2D images) approach to prostate organ segmentation was
described as having good performance in regard to prostate segmentation and volumetric …

… for prostate boundary segmentation from three-dimensional (3D) ultrasound (US) images.
The US volume is sampled into 72 slices which go through the center of the prostate gland …

… for segmentation, the scale and variance are not specified with the location of the point of
interest. To deal with it, the discriminant analysis in machine learning … of the prostate, separate …

… machine learning algorithms with SLIM label-free imaging and describe the first label-free
tissue scanner with automatic prostate … than 300 cores, we segmented different regions from …

… Machine learning (ML), especially deep learning (DL), allows for an … prostate imaging.
Among the tasks that can be addressed by ML and DL is that of automated prostate segmentation, …

… We segmented the data into instances without prostate cancer, instances with low-risk prostate
cancer, and instances with high-risk prostate … of machine learning methods for prostate …

… machine learning in the prediction of the prostate cancer Gleason score (14–16). However,
accuracy varies depending on the machine learning … clinical lesions were segmented by one …

… Many successful approaches were proposed to use feature-based machine learning.
Maan et al. proposed a method to train multispectral MRI, such as T1, T2, and proton density …

… to machine learning of mpMRI have recently shown highly accurate outcomes in prostate
gland segmentation. … Ultimately, machine learning techniques may off-load the postprocessing …