Prediction of prostatic cancer progression after radical prostatectomy using artificial neural networks: a feasibility study.
about
Applications of machine learning in cancer prediction and prognosisPrediction of biochemical failure in localized carcinoma of prostate after radical prostatectomy by neuro-fuzzy.Incidental carcinoma of the prostate: clinicopathological, stereological and immunohistochemical findings studied with logistic regression and self-organizing feature maps.The use of neural networks for predicting the result of endoscopic treatment for vesico-ureteric reflux.
P2860
Prediction of prostatic cancer progression after radical prostatectomy using artificial neural networks: a feasibility study.
description
1999 nî lūn-bûn
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1999年の論文
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1999年学术文章
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1999年学术文章
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1999年学术文章
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1999年学术文章
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1999年学术文章
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1999年學術文章
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name
Prediction of prostatic cancer ...... networks: a feasibility study.
@en
Prediction of prostatic cancer ...... networks: a feasibility study.
@nl
type
label
Prediction of prostatic cancer ...... networks: a feasibility study.
@en
Prediction of prostatic cancer ...... networks: a feasibility study.
@nl
prefLabel
Prediction of prostatic cancer ...... networks: a feasibility study.
@en
Prediction of prostatic cancer ...... networks: a feasibility study.
@nl
P2093
P2860
P1433
P1476
Prediction of prostatic cancer ...... networks: a feasibility study.
@en
P2093
Gottfried HW
Hautmann R
Kestler HA
Mattfeldt T
P2860
P304
P356
10.1046/J.1464-410X.1999.00209.X
P577
1999-08-01T00:00:00Z