… Recent risk classifications for localized prostate cancer include a measure of the overall … of
core involvement being associated with prostate cancer-specific mortality. One would assume…

… , benefited from availability of the 1992 classification of prostate cancer prior to publication.
Thus, besides reporting the new classification, the panelists and attendees could concentrate …

… Our model achieved high accuracy of prostate cancer classification (accuracy of 86.92%). …
and existing deep learning models in prostate cancer classification with higher accuracy. …

… On the basis of the above considerations, the purpose of this review is to propose a new
molecular classification of prostate cancer that incorporates AR, oncogenes/tumor suppressors, …

… Machine learning (ML) workflow of two-class lesion classification for prostate cancer using …
Machine learning (ML) workflow of two-class lesion classification for prostate cancer using an …

… % of prostatic adenocarcinomas, a spectrum of morphological variants and prostate cancer
… conventional acinar cancer and cancers with histological pattern, which are unusual for the …

… of tumor classification [13,14,15,16,17,18]. Two transcriptome-based classification methods
were … Our group described the prostate cancer classification system (PCS), an integrated …

… Likewise, to reduce redundancy, urothelial carcinoma of prostate and prostatic urethra is
covered in the urinary tract chapter of this book. While the classification of prostate cancer …

… prognostic indicator for poor prognosis in prostate cancer. However, a significant number of
… in prostate cancer, we analyzed a microarray dataset characterizing 281 prostate cancers …

… The aim of this study is to develop an automated computational approach to efficiently
classify prostate cancer by analyzing MRI and US images. In order to test the efficacy of already …