The refinement of microcalcification cluster assessment by joint analysis of MLO and CC views

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

Volumn 4046 LNCS, Issue , 2006, Pages 509-516

  Altrichter, Márta ^a   Horváth, Gábor ^a  

^a BUDAPEST UNIVERSITY OF TECHNOLOGY AND ECONOMICS   (Hungary)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CALCIFICATION (BIOCHEMISTRY); COMPUTER AIDED DESIGN; IMAGE PROCESSING; X RAY ANALYSIS;

MAMMOGRAMS; MICROCALCIFICATION CLUSTER ASSESSMENT; POSITIONING SYSTEM;

DISTRIBUTED COMPUTER SYSTEMS;

EID: 33746376013     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11783237_69     Document Type: Conference Paper

References (5)

1. Songyang Yu, Ling Guan: A CAD System for the Automatic Detection of Clustered Microcalcifications in Digitized Mammogram Films. IEEE Trans. on Medical Imaging, Vol. 19, No. 2, February 2000.
2. B. Verma and J. Zakos: A Computer-Aided Diagnosis System for Digital Mammograms Based on Fuzzy-Neural Feature Extraction Techniques. IEEE Trans. on Information Technology in Biomedicine, vol. 5. No. 1. pp. 46-54. 2001.
3. R.J. Ferrari, R. M. Rangayyan, J. E. L. Desautels, R. A. Borges, A. F. Frre: Automatic Identification of the Pectoral Muscle in Mammograms. IEEE Trans. on Image Processing, Vol. 23, No 2, pp. 232-245, February 2004.
4. Wei-Ying Ma, B. S. Manjunath: EdgeFlow: A Technique for Boundary Detection and Image Segmentation. IEEE Trans. on Image Processing, Vol. 9, No 8, pp. 1375-1388, August 2000.
5. M. Heath, K. Bowyer, D. Kopans, R. Moore, K. Chang, S. Munishkumaran and P. Kegelmeyer: Current Status of the Digital Database for Screening Mammography. In: Digital Mammography, N. Karssemeier, M. Thijssen, J. Hendriks and L. van Erning (eds.) Proc. of the 4th International Workshop on Digital Mammography, Nijmegen, The Netherlands, 1998. Kluwer Acamdemic, pp. 457-460.