Algorithms for detecting clusters of microcalcifications in mammograms

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3617 LNCS, Issue , 2005, Pages 884-891

  Marrocco, Claudio ^a   Molinara, Mario ^a   Tortorella, Francesco ^a  

^a UNIVERSITY OF CASSINO AND SOUTHERN LAZIO   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CALCIFICATION (BIOCHEMISTRY); DATABASE SYSTEMS; DIAGNOSIS; IMAGE QUALITY; MAMMOGRAPHY; TUMORS;

CLUSTERING ALGORITHMS; INVASIVE DIAGNOSTIC TECHNIQUES; MAMMOGRAPHIC IMAGES; MICROCALCIFICATIONS;

MEDICAL IMAGING;

EID: 33745131101     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11553595_108     Document Type: Conference Paper

References (8)

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2. Karssemeijer, N.: Adaptive Noise Equalization and Recognition of Microcalcification Clusters in Mammograms. International Journal of Pattern Recognition and Artificial Intelligence 7 (1993), 1357 1376.
3. Strickland, R.N., Hahn, H.: Wavelet Transforms for Detecting Microcalcifications in Mammograms. IEEE Transaction on Medical Imaging 15 (1996), 218-229.
4. Netsch, T., Peitgen, H.: Scale Space Signatures for the Detection of Clustered Microcalcifications in Digital Mammograms. IEEE Transaction on Medical Imaging 18, (1999), 774 786.
5. Cheng, H.D., Lui, Y.M., Freimanis, R.I.: A Novel Approach to Microcalcification Detection Using Fuzzy Logic Technique. IEEE Transaction on Medical Imaging 17 (1998), 442-450.
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8. D'Elia, C., Marrocco, C., Molinara, M., Poggi, G., Scarpa, G., Tortorella, F.: Detection of Microcalcifications Clusters in Mammograms through TS-MRF Segmentation and SVM-based Classification. Proceedings of the 17th International Conference on Pattern Recognition, Cambridge, UK, IEEE Computer Society Press (2004).