Intelligent synchronized magnifying glasses for assisting reading of temporal mammograms

IFMBE Proceedings

Volumn 22, Issue , 2008, Pages 1034-1037

  Temmermans, F ^a   Deklerck, R ^a   Suliga, M ^a   Breucq, C ^b   Behiels, G ^c   Dewaele, P ^c  

^a VRIJE UNIVERSITEIT BRUSSEL   (Belgium)

^b UNIVERSITY HOSPITAL BRUSSELS   (Belgium)

^c AGFA GEVAERT N V   (Belgium)

Author keywords

Computer Aided Diagnosis (CAD); Temporal mammography; Visualization

Indexed keywords

AUTOMATIC DETECTION; AUTOMATIC IDENTIFICATION; CLINICAL ANALYSIS; CORE COMPONENTS; MICROCALCIFICATIONS; TEMPORAL MAMMOGRAPHY; VISUALIZATION TOOLS;

AUTOMATION; BIOMINERALIZATION; BONE; ELECTRONIC DATA INTERCHANGE; GLASS; IMAGE PROCESSING; LENSES; MAMMOGRAPHY; VISUALIZATION; X RAY SCREENS;

COMPUTER AIDED DIAGNOSIS;

EID: 70350639363     PISSN: 16800737     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-89208-3_246     Document Type: Conference Paper

References (14)

1. T. Arod, M. Kurdziel, E. O. D. Sevre, and D. A. Yuen. (2005) Pattern recognition techniques for automatic detection of suspicious-looking anomalies in mammograms. Computer Methods and Programs in Biomedicine, 79:135-149
2. L. Zhang, R. Sankar, and W. Qian. (2002) Advances in microcalcification clusters detection in mammography. Computers in Biology and Medicine, 32:515-528.
3. Jasji S. Suri and Rangaraj M. Rangayyan. (2006) Recent Advances in Breast Imaging, Mammography and Computer-Aided Diagnosis of Breast Cancer. SPIE Press, Bellingham, Washington USA.
4. G. Kom, A. Tiedeu, and M. Kom. (2005) Automated detection of masses in mammograms by local adaptive thresholding. Computers in Biology and Medicine, 37.
5. Interactive segmentation of masses in digitized mammograms: observer variability and discriminative application, 1230. Elsevier Science, 2001.
6. Computerized Detection of Masses from Digitized Mammograms: Comparison of Single-Image Segmentation and Bilateral-Image Substraction, volume 12 (1995). Department of Radiology, University of Pittsburg, Pittsburg, PA.
7. B. Zheng, R. Shan, L. Wallace, C. Hakim, M. A. Ganott, and D. Gur. (2002) Computer-aided detection in mammography: An assessment of performance on current and prior images. Acad Radiol, 9:1245-1250.
8. Peter R. Snoeren and Nico Karssemeijer (2007). Gray-scale and geometric registration of fullfield digital and filmscreen mammograms. Medical Image Analysis, 11:146-156.
9. R.M. Nishikawa. (1998) Detection of Microcalcification. Digital Mammography Nijmegen 98, 131-153.
10. R.M. Nishikawa, D.E. Wolverton, R.A. Schmidt, and K. Papaioannou. (1997) Radiologists' ability to discriminate computer-detected true and false positives from an automated scheme for the detection of clusters microcalcifications on digitized mammograms. Proceedings of SPIE 3036, 198-204.
11. A. Ardeshir Goshtasby. (2005) 2-D and 3-D Image Registration for Medical, Remote Sensing and Industrial Applications. John Wiley and Sons, Inc.
12. th International Conference on Information Processing in Medical Imaging, pages 263-274.
13. W. Wells, P. Viola, H. Atsumi, S. Nakajima, and R. Kikins. (1996) Multi-modal volume registration by maximization of mutual information. Med. Image Anal, 1:35-51.
14. S. Z. Li. (1995) Markov Random Field Modelling in Computer Vision. Springer Verlag, second edition. 15. S. Geman and D. Geman. (1984) Stochastic relaxation, gibbs distribution, and the Bayesian restoration of images. IEEE Trans. on Pattern Analysis and Machine Intelligence, 6:721-741.