… the previous models, regardless of the … a comparative study of several of the most common,
as well as some new some variations, of Unet-based segmentation models for prostate gland …

… PREDICT Prostate is an individualised prognostic model that provides long-term survival …
non-metastatic prostate cancer ( www.prostate.predict.nhs.uk ). In this study clinician estimates …

… model to evaluate BB2r-targeted agents is the murine xenograft model utilizing the human
prostate cancer … In this study, subcutaneous and orthotopic xenograft models were generated. …

… generated a prior-attention probability map by gating the networks to learn potentially
useful features across the boundaries between the prostate and tumor, thus making our model …

… This investigation aimed to assess the effectiveness of different classification models in
diagnosing prostate cancer using a screening dataset obtained from the National …

… models in the detection of prostate cancer. In this study, we perform a thorough comparative
study on the differential diagnosis on prostate cancer using Gaussian (MEM) and non-…

… analysis, we repeated the cancer-specific mortality model utilizing a competing risk regression
model … , we repeated the survival regression models using only data from Milan as this …

… Prostate cancer (PCa) is the second-most frequent cancer and the fifth leading cause of
cancer-related mortality in men worldwide (1). It is critical to accurately detect PCa and assess its …

… study may not reflect the risks for prostate cancer progression in another population.
Nonetheless, our analysis … However, the authors based their conclusions on models incorporating …

… publicly-available prostate cancer dataset was used to train the models in different ways, …
a comparative study of the inter-observer variability in pixel-wise annotations of prostate cancer …