The deep-learning algorithm automatically annotates a 3D whole-mount pathology image and presents the discovered features in an understandable way. The patches with high probability of cancer ...

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. Comment ASCO Publications ...

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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 ...

A research team has created a new machine-learning framework that distinguishes between low- and high-risk prostate cancer, according to a paper published in Scientific Reports.

Study: Fully Automated Deep Learning Model to Detect Clinically Significant Prostate Cancer at MRI. Image Credit: Antonio Marca / Shutterstock.com. Using machine learning to diagnose prostate ...

This presentation will explore the development and validation of a generalisable deep-learning-based automatic prostate segmentation algorithm for three-dimensional ultrasound images. Practical ...

The key difference between ML and DL . One of the biggest differences between deep learning and other forms of machine learning is the level of “supervision” that a machine is provided.

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 ...