-
1
-
-
0036091951
-
Artificial neural networks for diagnosis and prognosis in prostate cancer
-
Schwarzer G., and Schumacher M. Artificial neural networks for diagnosis and prognosis in prostate cancer. Semin Urol Oncol 20 (2002) 89
-
(2002)
Semin Urol Oncol
, vol.20
, pp. 89
-
-
Schwarzer, G.1
Schumacher, M.2
-
2
-
-
0035871395
-
Comparison of artificial neural networks with other statistical approaches: results from medical data sets
-
Sargent D.J. Comparison of artificial neural networks with other statistical approaches: results from medical data sets. Cancer 91 (2001) 1636
-
(2001)
Cancer
, vol.91
, pp. 1636
-
-
Sargent, D.J.1
-
3
-
-
0034728368
-
On the misuses of artificial neural networks for prognostic and diagnostic classification in oncology
-
Schwarzer G., Vach W., and Schumacher M. On the misuses of artificial neural networks for prognostic and diagnostic classification in oncology. Stat Med 19 (2000) 541
-
(2000)
Stat Med
, vol.19
, pp. 541
-
-
Schwarzer, G.1
Vach, W.2
Schumacher, M.3
-
5
-
-
34548438281
-
-
Presented at Eleventh Conference on Biocybernetics and Biomedical Engineering, Warsaw, Poland, December 2-4
-
Onisko A., Druzdzel M.J., and Wasyluk H. A Bayesian network model for diagnosis of liver disorders. Presented at Eleventh Conference on Biocybernetics and Biomedical Engineering, Warsaw, Poland, December 2-4 (1999)
-
(1999)
A Bayesian network model for diagnosis of liver disorders
-
-
Onisko, A.1
Druzdzel, M.J.2
Wasyluk, H.3
-
7
-
-
0038024167
-
Artificial neural networks for decision-making in urologic oncology
-
Anagnostou T., Remzi M., Lykourinas M., and Djavan B. Artificial neural networks for decision-making in urologic oncology. Eur Urol 43 (2003) 596
-
(2003)
Eur Urol
, vol.43
, pp. 596
-
-
Anagnostou, T.1
Remzi, M.2
Lykourinas, M.3
Djavan, B.4
-
8
-
-
0141790049
-
Artificial intelligence in predicting bladder cancer outcome: a comparison of neuro-fuzzy modeling and artificial neural networks
-
Catto J.W.F., Linkens D.A., Abbod M.F., Chen M., Burton J.L., Feeley K.M., et al. Artificial intelligence in predicting bladder cancer outcome: a comparison of neuro-fuzzy modeling and artificial neural networks. Clin Cancer Res 9 (2003) 4172
-
(2003)
Clin Cancer Res
, vol.9
, pp. 4172
-
-
Catto, J.W.F.1
Linkens, D.A.2
Abbod, M.F.3
Chen, M.4
Burton, J.L.5
Feeley, K.M.6
-
9
-
-
0035481747
-
A systematic neurofuzzy modelling framework with application to material property prediction
-
Chen M., and Linkens D.A. A systematic neurofuzzy modelling framework with application to material property prediction. IEEE Trans Syst Man Cybern B 31 (2001) 781
-
(2001)
IEEE Trans Syst Man Cybern B
, vol.31
, pp. 781
-
-
Chen, M.1
Linkens, D.A.2
-
10
-
-
30344486015
-
Neuro-fuzzy modeling: an accurate and interpretable method for predicting bladder cancer progression
-
Catto J.W.F., Abbod M.F., Linkens D.A., and Hamdy F.C. Neuro-fuzzy modeling: an accurate and interpretable method for predicting bladder cancer progression. J Urol 175 (2006) 474
-
(2006)
J Urol
, vol.175
, pp. 474
-
-
Catto, J.W.F.1
Abbod, M.F.2
Linkens, D.A.3
Hamdy, F.C.4
-
11
-
-
0037083655
-
Novel artificial neural network for early detection of prostate cancer
-
Djavan B., Remzi M., Zlotta A., Seitz C., Snow P., and Marberger M. Novel artificial neural network for early detection of prostate cancer. J Clin Oncol 20 (2002) 921
-
(2002)
J Clin Oncol
, vol.20
, pp. 921
-
-
Djavan, B.1
Remzi, M.2
Zlotta, A.3
Seitz, C.4
Snow, P.5
Marberger, M.6
-
12
-
-
0032324086
-
Novel staging tool for localized prostate cancer: a pilot study using genetic adaptive neural networks
-
Tewari A., and Narayan P. Novel staging tool for localized prostate cancer: a pilot study using genetic adaptive neural networks. J Urol 160 (1998) 430
-
(1998)
J Urol
, vol.160
, pp. 430
-
-
Tewari, A.1
Narayan, P.2
-
13
-
-
0035674244
-
Genetic adaptive neural network to predict biochemical failure after radical prostatectomy: a multi-institutional study
-
Tewari A., Issa M., El-Galley R., Stricker H., Peabody J., Pow-Sang J., et al. Genetic adaptive neural network to predict biochemical failure after radical prostatectomy: a multi-institutional study. Mol Urol 5 (2001) 163
-
(2001)
Mol Urol
, vol.5
, pp. 163
-
-
Tewari, A.1
Issa, M.2
El-Galley, R.3
Stricker, H.4
Peabody, J.5
Pow-Sang, J.6
-
14
-
-
0033669367
-
Performance of a neural network in detecting prostate cancer in the prostate-specific antigen reflex range of 2.5 to 4.0 ng/mL
-
Babaian R.J., Fritsche H., Ayala A., Bhadkamkar V., Johnston D.A., Naccarato W., et al. Performance of a neural network in detecting prostate cancer in the prostate-specific antigen reflex range of 2.5 to 4.0 ng/mL. Urology 56 (2000) 1000
-
(2000)
Urology
, vol.56
, pp. 1000
-
-
Babaian, R.J.1
Fritsche, H.2
Ayala, A.3
Bhadkamkar, V.4
Johnston, D.A.5
Naccarato, W.6
-
15
-
-
0031866151
-
Neural network analysis of combined conventional and experimental prognostic markers in prostate cancer: a pilot study
-
Naguib R.N., Robinson M.C., Neal D.E., and Hamdy F.C. Neural network analysis of combined conventional and experimental prognostic markers in prostate cancer: a pilot study. Br J Cancer 78 (1998) 246
-
(1998)
Br J Cancer
, vol.78
, pp. 246
-
-
Naguib, R.N.1
Robinson, M.C.2
Neal, D.E.3
Hamdy, F.C.4
-
16
-
-
0034954414
-
Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks
-
Khan J., Wei J.S., Ringner M., Saal L.H., Ladanyi M., Westermann F., et al. Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks. Nat Med 7 (2001) 673
-
(2001)
Nat Med
, vol.7
, pp. 673
-
-
Khan, J.1
Wei, J.S.2
Ringner, M.3
Saal, L.H.4
Ladanyi, M.5
Westermann, F.6
-
17
-
-
0042734859
-
An artificial neural network to predict the outcome of repeat prostate biopsies
-
Remzi M., Anagnostou T., Ravery V., Zlotta A., Stephan C., Marberger M., et al. An artificial neural network to predict the outcome of repeat prostate biopsies. Urology 62 (2003) 456
-
(2003)
Urology
, vol.62
, pp. 456
-
-
Remzi, M.1
Anagnostou, T.2
Ravery, V.3
Zlotta, A.4
Stephan, C.5
Marberger, M.6
-
18
-
-
0031937812
-
Evaluation of ProstAsure index in the detection of prostate cancer: a preliminary report
-
Babaian R.J., Fritsche H.A., Zhang Z., Zhang K.H., Madyastha K.R., and Barnhill S.D. Evaluation of ProstAsure index in the detection of prostate cancer: a preliminary report. Urology 51 (1998) 132
-
(1998)
Urology
, vol.51
, pp. 132
-
-
Babaian, R.J.1
Fritsche, H.A.2
Zhang, Z.3
Zhang, K.H.4
Madyastha, K.R.5
Barnhill, S.D.6
-
20
-
-
0028874554
-
Prostatic intraepithelial neoplasia (PIN). Performance of Bayesian belief network for diagnosis and grading
-
Montironi R., Bartels P.H., Thompson D., Scarpelli M., and Hamilton P.W. Prostatic intraepithelial neoplasia (PIN). Performance of Bayesian belief network for diagnosis and grading. J Pathol 177 (1995) 153
-
(1995)
J Pathol
, vol.177
, pp. 153
-
-
Montironi, R.1
Bartels, P.H.2
Thompson, D.3
Scarpelli, M.4
Hamilton, P.W.5
-
21
-
-
0035123210
-
Artificial neural network model for the assessment of lymph node spread in patients with clinically localized prostate cancer
-
Batuello J.T., Gamito E.J., Crawford E.D., Han M., Partin A.W., McLeod D.G., et al. Artificial neural network model for the assessment of lymph node spread in patients with clinically localized prostate cancer. Urology 57 (2001) 481
-
(2001)
Urology
, vol.57
, pp. 481
-
-
Batuello, J.T.1
Gamito, E.J.2
Crawford, E.D.3
Han, M.4
Partin, A.W.5
McLeod, D.G.6
-
22
-
-
0035871398
-
Evaluation of artificial neural networks for the prediction of pathologic stage in prostate carcinoma
-
Han M., Snow P.B., Brandt J.M., and Partin A.W. Evaluation of artificial neural networks for the prediction of pathologic stage in prostate carcinoma. Cancer 91 (2001) 1661
-
(2001)
Cancer
, vol.91
, pp. 1661
-
-
Han, M.1
Snow, P.B.2
Brandt, J.M.3
Partin, A.W.4
-
24
-
-
1242285549
-
Classification of prostatic carcinoma with artificial neural networks using comparative genomic hybridization and quantitative stereological data
-
Mattfeldt T., Gottfried H., Wolter H., Schmidt V., Kestler H.A., and Mayer J. Classification of prostatic carcinoma with artificial neural networks using comparative genomic hybridization and quantitative stereological data. Pathol Res Pract 199 (2003) 773
-
(2003)
Pathol Res Pract
, vol.199
, pp. 773
-
-
Mattfeldt, T.1
Gottfried, H.2
Wolter, H.3
Schmidt, V.4
Kestler, H.A.5
Mayer, J.6
-
25
-
-
34548419922
-
-
Presented at Computational and Information Science: First International Symposium, Shanghai, People's Republic of China, December 16-18
-
Jung J.K., Young H.K., and Yonggwan W. Proteomic pattern classification using bio-markers for prostate cancer diagnosis. Presented at Computational and Information Science: First International Symposium, Shanghai, People's Republic of China, December 16-18 (2004)
-
(2004)
Proteomic pattern classification using bio-markers for prostate cancer diagnosis
-
-
Jung, J.K.1
Young, H.K.2
Yonggwan, W.3
-
26
-
-
0242608650
-
Comparison of Cox regression with other methods for determining prediction models and nomograms
-
Kattan M.W. Comparison of Cox regression with other methods for determining prediction models and nomograms. J Urol, part 2 170 (2003) S6
-
(2003)
J Urol, part 2
, vol.170
-
-
Kattan, M.W.1
-
27
-
-
1842527859
-
Use of artificial neural networks to predict biological outcomes for patients receiving radical radiotherapy of the prostate
-
Gulliford S.L., Webb S., Rowbottom C.G., Corne D.W., and Dearnaley D.P. Use of artificial neural networks to predict biological outcomes for patients receiving radical radiotherapy of the prostate. Radiother Oncol 71 (2004) 3
-
(2004)
Radiother Oncol
, vol.71
, pp. 3
-
-
Gulliford, S.L.1
Webb, S.2
Rowbottom, C.G.3
Corne, D.W.4
Dearnaley, D.P.5
-
28
-
-
0033663884
-
A neural network predicts progression for men with Gleason score 3+4 versus 4+3 tumors after radical prostatectomy
-
Han M., Snow P.B., Epstein J.I., Chan T.Y., Jones K.A., Walsh P.C., et al. A neural network predicts progression for men with Gleason score 3+4 versus 4+3 tumors after radical prostatectomy. Urology 56 (2000) 994
-
(2000)
Urology
, vol.56
, pp. 994
-
-
Han, M.1
Snow, P.B.2
Epstein, J.I.3
Chan, T.Y.4
Jones, K.A.5
Walsh, P.C.6
-
29
-
-
10644263397
-
Preoperative neural network using combined magnetic resonance imaging variables, prostate-specific antigen, and Gleason score for predicting prostate cancer biochemical recurrence after radical prostatectomy
-
Poulakis V., Witzsch U., de Vries R., Emmerlich V., Meves M., Altmannsberger H.M., et al. Preoperative neural network using combined magnetic resonance imaging variables, prostate-specific antigen, and Gleason score for predicting prostate cancer biochemical recurrence after radical prostatectomy. Urology 64 (2004) 1165
-
(2004)
Urology
, vol.64
, pp. 1165
-
-
Poulakis, V.1
Witzsch, U.2
de Vries, R.3
Emmerlich, V.4
Meves, M.5
Altmannsberger, H.M.6
-
30
-
-
0035011377
-
Urothelial papillary lesions. Development of a Bayesian belief network for diagnosis and grading
-
Mazzucchelli R., Santinelli A., Colanzi P., Streccioni M., Lopez-Beltran A., Scarpelli M., et al. Urothelial papillary lesions. Development of a Bayesian belief network for diagnosis and grading. Anticancer Res 21 (2001) 1157
-
(2001)
Anticancer Res
, vol.21
, pp. 1157
-
-
Mazzucchelli, R.1
Santinelli, A.2
Colanzi, P.3
Streccioni, M.4
Lopez-Beltran, A.5
Scarpelli, M.6
-
31
-
-
0035188267
-
Multicriteria fuzzy assignment method: a useful tool to assist medical diagnosis
-
Belacel N., and Boulassel M.R. Multicriteria fuzzy assignment method: a useful tool to assist medical diagnosis. Artif Intell Med 21 (2001) 201
-
(2001)
Artif Intell Med
, vol.21
, pp. 201
-
-
Belacel, N.1
Boulassel, M.R.2
-
32
-
-
1842831550
-
Neural network-based segmentation and classification system for automated grading of histologic sections of bladder carcinoma
-
Spyridonos P., Cavouras D., Ravazoula P., and Nikiforidis G. Neural network-based segmentation and classification system for automated grading of histologic sections of bladder carcinoma. Anal Quant Cytol Histol 24 (2002) 317
-
(2002)
Anal Quant Cytol Histol
, vol.24
, pp. 317
-
-
Spyridonos, P.1
Cavouras, D.2
Ravazoula, P.3
Nikiforidis, G.4
-
33
-
-
34548462337
-
-
Presented at Seventh International Conference of Knowledge Based Intelligent Information and Engineering Systems, Oxford, United Kingdom, September 3-5
-
Tasoulis D.K., Spyridonos P., Pavlidis N.G., Cavouras D., Ravazoula P., Nikiforidis G., et al. Urinary bladder tumor grade diagnosis using on-line trained neural networks. Presented at Seventh International Conference of Knowledge Based Intelligent Information and Engineering Systems, Oxford, United Kingdom, September 3-5 (2003)
-
(2003)
Urinary bladder tumor grade diagnosis using on-line trained neural networks
-
-
Tasoulis, D.K.1
Spyridonos, P.2
Pavlidis, N.G.3
Cavouras, D.4
Ravazoula, P.5
Nikiforidis, G.6
-
34
-
-
0032466384
-
Back propagation neural network in the discrimination of benign from malignant lower urinary tract lesions
-
Pantazopoulos D., Karakitsos P., Iokim-Liossi A., Pouliakis A., Botsoli-Stergiou E., and Dimopoulos C. Back propagation neural network in the discrimination of benign from malignant lower urinary tract lesions. J Urol 159 (1998) 1619
-
(1998)
J Urol
, vol.159
, pp. 1619
-
-
Pantazopoulos, D.1
Karakitsos, P.2
Iokim-Liossi, A.3
Pouliakis, A.4
Botsoli-Stergiou, E.5
Dimopoulos, C.6
-
35
-
-
0037364235
-
Neural network using combined urine nuclear matrix protein-22, monocyte chemoattractant protein-1 and urinary intercellular adhesion molecule-1 to detect bladder cancer
-
Parekattil S.J., Fisher H.A., and Kogan B.A. Neural network using combined urine nuclear matrix protein-22, monocyte chemoattractant protein-1 and urinary intercellular adhesion molecule-1 to detect bladder cancer. J Urol 169 (2003) 917
-
(2003)
J Urol
, vol.169
, pp. 917
-
-
Parekattil, S.J.1
Fisher, H.A.2
Kogan, B.A.3
-
36
-
-
0142151170
-
Neural network-based assessment of prognostic markers and outcome prediction in bilharziasis-associated bladder cancer
-
Ji W., Naguib R.N., and Ghoneim M.A. Neural network-based assessment of prognostic markers and outcome prediction in bilharziasis-associated bladder cancer. IEEE Trans Inf Technol Biomed 7 (2003) 218
-
(2003)
IEEE Trans Inf Technol Biomed
, vol.7
, pp. 218
-
-
Ji, W.1
Naguib, R.N.2
Ghoneim, M.A.3
-
37
-
-
0033983145
-
Neural network analysis of clinicopathological and molecular markers in bladder cancer
-
Qureshi K.N., Naguib R.N., Hamdy F.C., Neal D.E., and Mellon J.K. Neural network analysis of clinicopathological and molecular markers in bladder cancer. J Urol 163 (2000) 630
-
(2000)
J Urol
, vol.163
, pp. 630
-
-
Qureshi, K.N.1
Naguib, R.N.2
Hamdy, F.C.3
Neal, D.E.4
Mellon, J.K.5
-
38
-
-
0028932561
-
Neural network analysis of quantitative histological factors to predict pathological stage in clinical stage I nonseminomatous testicular cancer
-
Moul J.W., Snow P.B., Fernandez E.B., Maher P.D., and Sesterhenn I.A. Neural network analysis of quantitative histological factors to predict pathological stage in clinical stage I nonseminomatous testicular cancer. J Urol 153 (1995) 1674
-
(1995)
J Urol
, vol.153
, pp. 1674
-
-
Moul, J.W.1
Snow, P.B.2
Fernandez, E.B.3
Maher, P.D.4
Sesterhenn, I.A.5
-
39
-
-
0013290186
-
Ultrasonic spectrum-analysis and neural-network classification as a basis for ultrasonic imaging to target brachytherapy of prostate cancer
-
Feleppa E.J., Ennis R.D., Schiff P.B., Wuu C.S., Kalisz A., Ketterling J., et al. Ultrasonic spectrum-analysis and neural-network classification as a basis for ultrasonic imaging to target brachytherapy of prostate cancer. Brachytherapy 1 (2002) 48
-
(2002)
Brachytherapy
, vol.1
, pp. 48
-
-
Feleppa, E.J.1
Ennis, R.D.2
Schiff, P.B.3
Wuu, C.S.4
Kalisz, A.5
Ketterling, J.6
-
41
-
-
0026521021
-
Segmenting ultrasound images of the prostate using neural networks
-
Prater J.S., and Richard W.D. Segmenting ultrasound images of the prostate using neural networks. Ultrason Imaging 14 (1992) 159
-
(1992)
Ultrason Imaging
, vol.14
, pp. 159
-
-
Prater, J.S.1
Richard, W.D.2
-
42
-
-
0042433438
-
Ultrasonic multifeature tissue characterization for prostate diagnostics
-
Scheipers U., Ermert H., Sommerfeld H.J., Garcia-Schurmann M., Senge T., and Philippou S. Ultrasonic multifeature tissue characterization for prostate diagnostics. Ultrasound Med Biol 29 (2003) 1137
-
(2003)
Ultrasound Med Biol
, vol.29
, pp. 1137
-
-
Scheipers, U.1
Ermert, H.2
Sommerfeld, H.J.3
Garcia-Schurmann, M.4
Senge, T.5
Philippou, S.6
-
43
-
-
17644388485
-
Recent developments in tissue-type imaging (TTI) for planning and monitoring treatment of prostate cancer
-
Feleppa E.J., Porter C.R., Ketterling J., Lee P., Dasgupta S., Urban S., et al. Recent developments in tissue-type imaging (TTI) for planning and monitoring treatment of prostate cancer. Ultrason Imaging 26 (2004) 163
-
(2004)
Ultrason Imaging
, vol.26
, pp. 163
-
-
Feleppa, E.J.1
Porter, C.R.2
Ketterling, J.3
Lee, P.4
Dasgupta, S.5
Urban, S.6
-
44
-
-
1542673203
-
Combining artificial neural networks and transrectal ultrasound in the diagnosis of prostate cancer
-
Porter C.R., and Crawford E.D. Combining artificial neural networks and transrectal ultrasound in the diagnosis of prostate cancer. Oncology (Williston Park) 17 (2003) 1395
-
(2003)
Oncology (Williston Park)
, vol.17
, pp. 1395
-
-
Porter, C.R.1
Crawford, E.D.2
-
45
-
-
0028196969
-
Analysis of ultrasonographic prostate images for the detection of prostatic carcinoma: the automated urologic diagnostic expert system
-
Huynen A.L., Giesen R.J., de la Rosette J.J., Aarnink R.G., Debruyne F.M., and Wijkstra H. Analysis of ultrasonographic prostate images for the detection of prostatic carcinoma: the automated urologic diagnostic expert system. Ultrasound Med Biol 20 (1994) 1
-
(1994)
Ultrasound Med Biol
, vol.20
, pp. 1
-
-
Huynen, A.L.1
Giesen, R.J.2
de la Rosette, J.J.3
Aarnink, R.G.4
Debruyne, F.M.5
Wijkstra, H.6
-
46
-
-
0042739575
-
-
Presented at Fourth International Conference of SPIE, International Society for Optical Engineering, Kiev, Ukraine, June 26-28
-
Nanayakkara N.D., and Samarabandu J.K. Automatic prostate boundary detection in ultrasound images using multiresolution deformable models and fuzzy logic. Presented at Fourth International Conference of SPIE, International Society for Optical Engineering, Kiev, Ukraine, June 26-28 (2003)
-
(2003)
Automatic prostate boundary detection in ultrasound images using multiresolution deformable models and fuzzy logic
-
-
Nanayakkara, N.D.1
Samarabandu, J.K.2
-
47
-
-
0037503814
-
Ultrasonic tissue characterization for prostate diagnostics: spectral parameters vs. texture parameters
-
Scheipers U., Ermert H., Sommerfeld H.J., Garcia-Schurmann M., Kuhne K., Senge T., et al. Ultrasonic tissue characterization for prostate diagnostics: spectral parameters vs. texture parameters. Biomed Tech (Berl) 48 (2003) 122
-
(2003)
Biomed Tech (Berl)
, vol.48
, pp. 122
-
-
Scheipers, U.1
Ermert, H.2
Sommerfeld, H.J.3
Garcia-Schurmann, M.4
Kuhne, K.5
Senge, T.6
-
48
-
-
0034579235
-
-
Presented at IEEE Ultrasonics Symposium, San Juan, Puerto Rico, October 22-25
-
Lorenz A., Pesavento A., Scheipers U., Ermert H., Garcia Schurmann M., Sommerfeld H.J., et al. Ultrasonic tissue characterization assessment of prostate tissue malignancy in vivo using a conventional classifier based tissue classification approach and elastographic imaging. Presented at IEEE Ultrasonics Symposium, San Juan, Puerto Rico, October 22-25 (2000)
-
(2000)
Ultrasonic tissue characterization assessment of prostate tissue malignancy in vivo using a conventional classifier based tissue classification approach and elastographic imaging
-
-
Lorenz, A.1
Pesavento, A.2
Scheipers, U.3
Ermert, H.4
Garcia Schurmann, M.5
Sommerfeld, H.J.6
-
49
-
-
0032053680
-
A medical expert system approach using artificial neural networks for standardized treatment planning
-
Wells D.M., and Niederer J. A medical expert system approach using artificial neural networks for standardized treatment planning. Int J Radiat Oncol Biol Phys 41 (1998) 173
-
(1998)
Int J Radiat Oncol Biol Phys
, vol.41
, pp. 173
-
-
Wells, D.M.1
Niederer, J.2
-
50
-
-
2542433249
-
Application of influence diagrams to prostate intensity-modulated radiation therapy plan selection
-
Meyer J., Phillips M.H., Cho P.S., Kalet I., and Doctor J.N. Application of influence diagrams to prostate intensity-modulated radiation therapy plan selection. Phys Med Biol 49 (2004) 1637
-
(2004)
Phys Med Biol
, vol.49
, pp. 1637
-
-
Meyer, J.1
Phillips, M.H.2
Cho, P.S.3
Kalet, I.4
Doctor, J.N.5
|