A Deep Belief Network and Dempster-Shafer-Based Multiclassifier for the Pathology Stage of Prostate Cancer.
A Deep Belief Network and Dempster-Shafer-Based Multiclassifier for the Pathology Stage of Prostate Cancer.
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DOI：
10.1155/2018/4651582
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发表时间：
2018
影响因子：
--
通讯作者：
Choi IY
中科院分区：
文献类型：
--
作者：
Kim JK;Choi MJ;Lee JS;Hong JH;Kim CS;Seo SI;Jeong CW;Byun SS;Koo KC;Chung BH;Park YH;Lee JY;Choi IY
Pathologic prediction of prostate cancer can be made by predicting the patient's prostate metastasis prior to surgery based on biopsy information. Because biopsy variables associated with pathology have uncertainty regarding individual patient differences, a method for classification according to these variables is needed. We propose a deep belief network and Dempster-Shafer- (DBN-DS-) based multiclassifier for the pathologic prediction of prostate cancer. The DBN-DS learns prostate-specific antigen (PSA), Gleason score, and clinical T stage variable information using three DBNs. Uncertainty regarding the predicted output was removed from the DBN and combined with information from DS to make a correct decision. The new method was validated on pathology data from 6342 patients with prostate cancer. The pathology stages consisted of organ-confined disease (OCD; 3892 patients) and non-organ-confined disease (NOCD; 2453 patients). The results showed that the accuracy of the proposed DBN-DS was 81.27%, which is higher than the 64.14% of the Partin table. 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.
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影响因子：
6.6
作者：
OESTERLING, JE;BRENDLER, CB;WALSH, PC
通讯作者：
WALSH, PC
影响因子：
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作者：
Basir, Otman;Yuan, Xiaohong
通讯作者：
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作者：
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影响因子：
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作者：
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通讯作者：
Pockley, A. Graham
影响因子：
3
作者：
Tsao, Chih-Wei;Liu, Ching-Yu;Hsu, Chien-Yeh
通讯作者：
Hsu, Chien-Yeh