A Deep Belief Network and Dempster-Shafer-Based Multiclassifier for the Pathology Stage of Prostate Cancer.
Jae Kwon KimMun Joo ChoiJong Sik LeeJun Hyuk HongChoung-Soo KimSeong Il SeoChang Wook JeongSeok-Soo ByunKyo Chul KooByung Ha ChungYong Hyun ParkJi Youl LeeIn-Young ChoiPublished in: Journal of healthcare engineering (2018)
The proposed DBN-DS is more effective than other methods in predicting pathology stage. The performance is high because of the linear combination using the results of pathology-related features. The proposed method may be effective in decision support for prostate cancer treatment.