Texture Based Associative Classifier—An Application of Data Mining for Mammogram Classification

Author:

Deshpande Deepa S.,Rajurkar Archana M.,Manthalkar Ramchandra R.

Publisher

Springer India

Reference39 articles.

1. Sampat, Mehul P., Mia, Markey, K., Bovik, A.C.: Computer-Aided Detection and Diagnosis in Mammography. Hand Book of Image and Video Processing (2nd edn) (2005), pp. 1195–1217

2. Rangayyan, R.M., Ayres, F.J., Desautels, J.E.L.: A review of computer-aided diagnosis of breast cancer: toward the detection of subtle signs. J. Franklin Inst. 344, 312–348 (2007)

3. Verma, B., McLeod, P., Klevansky, A.: Classification of benign and malign patterns in digital mammograms for the diagnosis of breast cancer. Exp. Syst. Appl. 37, 3344–3351 (2010)

4. Ferreira, C.B.R., Borges, D.L.: Automated mammogram classification using a multi resolution pattern recognition approach. In: Proceedings of XIV Brazilian Symposium on Computer Graphics and Image Processing, IEEE; Florianopolis, Brazil. pp. 76–83, (2001)

5. Antonie, M.L., Zaiane, O.R., Coman, A.: Application of data mining techniques for medical image classification. Proceeding of Second International Workshop On multimedia Data Mining 9MDM/KDD’2001) in Conjunction with ACM SIGKDD Conference, San Francisco, USA, pp. 94–101 (Aug 2001)

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