Please use one of the following formats to cite this article in your essay, paper or report: APA. Bose, Priyom. (2024, August 11). Deep learning model rivals radiologists in detecting prostate ...

The new deep-learning-based 3D segmentation model represents a significant step forward in computational pathology for prostate cancer. By facilitating accurate characterization of glandular ...

Source Reference: Shao Y, et al "Prostate cancer risk stratification by digital histopathology and deep learning" JCO Clin Cancer Inform 2024; DOI: 10.1200/CCI.23.00184. ASCO Publications Corner ASCO ...

"In our prior work in computational 3D pathology, we looked at specific structures such as the prostate gland network, but Tripath is our first attempt to use deep learning to extract sub-visual ...

Using machine learning to diagnose prostate cancer Prostate cancer is the second most common cancer affecting men throughout the world. To diagnose csPCa, multiparametric magnetic resonance ...

We propose a deep learning, ... Artificial intelligence and machine learning in prostate cancer. Nat Rev Urol 16:391-403, 2019. Crossref. PubMed. Google Scholar. 10. Bulten W, Kartasalo K, Chen P-HC, ...

In this study, we determine whether objective machine learning (ML)–driven histopathology image analysis would aid us in better risk stratification of PCa. Materials and Methods We propose a deep ...