[Application of artificial neural network to diagnosis of prostate cancer].
Prostatic carcinoma is the fifth most common cancer in the world and the second most common in men. It is quite important to early detect and diagnose prostate cancer to reduce the mortality. With the increasing of the diagnosis and treatment tasks of prostate cancer and the development of medical techniques, more and more clinical and lab examinations, biopsy and medical imaging techniques are included in the diagnosis of prostate cancer. Although these examination results are supplement to each other, there are contradictions among them at the same time. Artificial neural networks (ANNs) which can perform multifactorial analysis based on computational methodologies have been widely used in the prognosis of prostate cancer. The current application of ANNs is reviewed.
Lv
Dong-jiao
DJ
Department of Biomedical Engineering, Peking University, Beijing 100871, China.
Zhang
Yu
Y
Wang
Xia-ying
XY
Guo
Xue-mei
XM
Wang
Cui-yan
CY
D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D003952:Diagnostic Imaging; D019937:Diagnostic Techniques and Procedures; D006801:Humans; D007090:Image Interpretation, Computer-Assisted; D008297:Male; D016571:Neural Networks, Computer; D011237:Predictive Value of Tests; D011471:Prostatic Neoplasms / Q000175:diagnosis*