Spiculated lesion detection in digital mammogram based on artificial neural network ensemble

Lecture Notes in Computer Science

Volumn 3498, Issue III, 2005, Pages 790-795

  Li, Ning ^a   Zhou, Huajie ^a   Ling, Jinjiang ^a   Zhou, Zhihua ^a  

^a NANJING UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

DISEASE CONTROL; NEURAL NETWORKS; TUMORS;

DIGITAL MAMMOGRAMS; ENSEMBLES; FEATURES; LESION DETECTION;

MAMMOGRAPHY;

EID: 24944531630     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/11427469_125     Document Type: Conference Paper

References (14)

1. American Cancer Society: Cancer Facts And Figures 2003: Technical Report, American Cancer Society, Atlanta, GA (2003)
2. Christoyianni, I., Koutras, A., Dermatas, E., Kokkinakis, G.: Computer Aided Diagnosis of Breast Cancer in Digitized Mammograms. Computerized Medical Imaging and Graphics, 26 (2002) 309-319.
3. nd edition (1998)
4. Liu, S., Babbs, C.F., Delp, E.J.: Multiresolution Detection of Spiculated Lesions in Digital Mammograms. IEEE Transactions on Image Processing, 10 (2001) 874-884
5. Hornik, K.M., Stinchcombe, M., White, H.: Multilayer Feedforward Networks Are Universal Approximators. Neural Networks, 2 (1989) 359-366
6. Sollich, P., Krogh, A.: Learning with Ensembles: How Over-Fitting Can Be Useful. In: Touretzky, D., Mozer, M., Hasselmo, M. (eds.): Advances in Neural Information Processing Systems 8, Cambridge, MA: MIT Press (1996) 190-196
7. Hansen, L.K., Salamon, P.: Neural Network Ensembles. IEEE Trans. Pattern Analysis and Machine Intelligence, 12 (1990) 993-1001
8. Krogh, A., Vedelsby, J.: Neural Network Ensembles, Cross Validation, and Active Learning. In: Tesauro, G., Touretzky, D., Leen, T. (eds.). Advances in Neural Information Processing Systems 7, Cambridge, MA: MIT Press (1995) 231-238
9. Schapire, R.E.: The Strength of Weak Learnability. Machine Learning, 5 (1990) 197-227
10. Breiman L.: Bagging Predictors. Machine Learning, 24 (1996) 123-140
11. Zhou, Z.-H., Jiang, Y., Yang, Y.-B., Chen, S.-F.: Lung Cancer Cell Identification Based on Artificial Neural Network Ensembles. Artificial Intelligence in Medicine, 24 (2002) 25-36
12. Zhou, Z.H., Jiang, Y.: Medical Diagnosis with C4.5 Rule Preceded by Artificial Neural Network Ensemble. IEEE Transactions on Information Technology in Biomedicine, 7 (2003) 37-42
13. nd edition (1998)
14. Kegelmeyer Jr., W.P., Prundeda, J.M., Bourland, P.D., Hillis, A., Riggs, M.W., Nipper, M.L: Computer-aided Mammographic Screening for Spiculated Lesions. Radiology, 191 (1994) 331-336