… We found several semantic features individually discriminated high grade Gleason score
(ADC-intensity, Homogeneity, early-enhancement, T2-intensity and extraprostatic extention), …

… In this study, we develop a model for predicting pECE+ based on only four characteristics:
prostate biopsy GS, two classical semantic features on MRI (measurable ECE on MRI and …

… Considering that Prostate Cancer (PCa) is the most frequently diagnosed tumor in Western
… in prostate MR image analysis and classification. This work explores the use of the Semantic …

… highlights the importance of incorporating predictive MRI features pre-surgery to aid
clinical decisions and enhance outcomes in prostate cancer. Adverse MRI features assist in …

… multi-scale U-Net for performance in semantic segmentation of high- and low-grade …
semantic segmentation Convolutional Neural Networks for detecting and grading prostate cancer …

… Prostate cancer (PCa) is the most common … results in prostate MRI analysis tasks, in particular
with regard to image classification. This paper studies the feasibility of using the Semantic …

… Prostate cancer (PCa) is the fourth most common cancer worldwide with 1.2 million new cases
in 2018 and it has the second-highest incidence of all cancers … contains semantic content …

… troscopic imaging, has shown promising results in the detection of prostate cancer (PCa).
However, characterizing focal prostate lesions in mp-MRI sequences is time demanding and …

… prostate cancer, but semantic heterogeneity exists in both the literature and in guidelines. To
address this issue, a panel of leading prostate cancer … with localized prostate cancer. This …

… of the prostate gland gives the prostate volume (… prostate cancer, offer insight into prognosis
of the disease, and predict treatment response. PV also facilitates the calculation of prostate-…