It is evident that artificial intelligence has the potential to outperform most pathologists in
detecting prostate cancer, and does not suffer from inherent interobserver variability …

Abstract Purpose Prostate cancer (PCa) histology, particularly the Gleason score, is an
independent prognostic predictor in PCa. Little is known about the inter-reader variability in …

The heterogeneity of prostate cancer is evident at clinical, morphological and molecular
levels. To aid clinical decision making, a three-tiered system for risk stratification is used to …

In addition to lymphatic and vascular channels, tumor cells can also spread via nerves, ie,
perineural invasion (PNI). PNI serves as an independent prognostic indicator in many …

Aims To evaluate the frequencies and types of disagreements in a contemporary urological
second-opinion consult service in order to improve pathologist awareness. Methods For 7 …

Background: In spite of significant advances in diagnosis of prostate cancer (PCa), the
detection and differential diagnosis of metastatic lymph node involvement remains an …

Towards High Performing and Reliable Deep Convolutional Neural Network Models for
Typically Limited Medical Imaging Datasets by Page 1 Towards High Performing and Reliable …

Prostat kanseri (PKa) için bir risk sınıflandırma yöntemi olan Gleason derecelendirmesi
subjektif, yani girdi görüntüyü inceleyen ve rapor eden patoloğun deneyim ve uzmanlığına …

Artificial intelligence (AI) is the field of computer science that aims to build smart devices
performing tasks that currently require human intelligence. Through machine learning (ML) …

The pivotal role of early and precise cancer diagnosis cannot be overstated, especially
given the complexity and variability inherent in oncological diseases. The traditional method …