Co-Trained Convolutional Neural Networks for Automated Detection of Prostate Cancer in Multi-parametric MRI

Prostate cancer (PCa) is one of the most lethal cancers with a high incidence rate. It has been reported that there are 180,890 newly diagnosed patients and 26,120 deaths caused by PCa in 2016 (Siegel et  al., 2016). The number of PCa diagnoses is expected to increase to 1,700,000 globally by 2030, and could result in up to 500,000 related deaths annually (Maddams et al., 2012). Early detection and risk assessment of PCa with a proper treatment can effectively prevent it from progressing to advanc ed metastatic disease, greatly increasing the survival rate of patients and maintaining the quality of patients’ life.

Source: Medical Image Analysis - August 22, 2017 Category: Radiology Authors: Xin Yang, Chaoyue Liu, Zhiwei Wang, Jun Yang, Hung Le Min, Liang Wang, Kwang-Ting (Tim) Cheng Source Type: research