Classification of breast tumors on digital mammograms using Laws’ texture features

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

Volumn 2208, Issue , 2001, Pages 1391-1392

  Varela, Celia ^a   Karssemeijer, Nico ^b   Tahoces, Pablo G ^a  

^a UNIVERSITY OF SANTIAGO DE COMPOSTELA   (Spain)

^b RADBOUD UNIVERSITY MEDICAL CENTER   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 77954642214     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45468-3_241     Document Type: Conference Paper

References (3)

1. Heath, M., Bowyer, K.W., Kopans, D., et al.: Current status of the Digital Database for Screening Mammography. In: Karsseimeijer, N., Thijssen, M., Hendriks, J., van Erning, L. (eds). Digital Mammography, Kluwer Academic Publishers (1998) 457-460.
2. Tahoces, P.G., Varela, C., Méndez, A.J., Souto, M., Vidal, J.J.: An automatic algorithm for segmentation of mammographic masses on a computerized detection scheme. In: Lemke, H.U., Vannier, M.W., Inamura, K., Farman, A.G., Doi, K. (eds.): Cars 2000. Computer Assisted Radiology and Surgery. Elsevier Science, Amsterdam (2000) 1038.
3. Sahiner, B., Chan, H.P., Petrick, N., Helvie, M.A., Goodsitt, M.M.: Computerized characterization of masses on mammograms: The rubber band straightening transform and texture analysis. Med Phys 25 (1998) 516-526.