Improving medical image perception by hierarchical clustering based segmentation

Final Program and Abstract Book - 9th International Conference on Information Technology and Applications in Biomedicine, ITAB 2009

Volumn , Issue , 2009, Pages

  Selvan, Arul N ^a   Saatchi, Reza ^a   Ferris, Christine M ^a  

^a SHEFFIELD HALLAM UNIVERSITY   (United Kingdom)

Author keywords

Clustering; Perception; Segmentation

Indexed keywords

CHEST RADIOGRAPHS; COMPUTER-AIDED DETECTION; DECISION MAKING TOOL; DETRIMENTAL EFFECTS; FALSE NEGATIVES; FALSE POSITIVE; HIER-ARCHICAL CLUSTERING; HUMAN DECISIONS; LUNG CANCER; MEDICAL IMAGE PERCEPTION;

DECISION MAKING; INFORMATION TECHNOLOGY; MAMMOGRAPHY; RADIOGRAPHY;

COMPUTER AIDED DESIGN;

EID: 77949579979     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ITAB.2009.5394456     Document Type: Conference Paper

References (14)

1. A. Gale, E. A. Krupinski, and D. J. Manning, "Preface Medical Image Perception Society Conference XI", The British Journal of Radiology, vol. 79, 2006, pp. 109-110
2. E. Alberdi, A. A. Povyakalo, L. Strigini, P. Ayton, M. Hartswood, R. Procter, and R. Slack, "Use of computer-aided detection (CAD) tools in screening mammography: a multidisciplinary investigation", The British Journal of Radiology, vol. 78, 2005, pp. 31-40.
3. A. N. Selvan, "Highlighting Dissimilarity in Medical Images Using Hierarchical Clustering Based Segmentation (HCS)" M. Phil. dissertation, Faculty of Arts Computing Engineering and Sciences, Sheffield Hallam Univ., Sheffield, UK, 2006.
4. H. Zhou, G. Schaefer, A. Sadka and M.E. Celebi "Anisotropic mean shift based fuzzy C-means segmentation of dermoscopy images" IEEE Journal of Selected Topics in Signal Processing, Vol. 3, No. 1, 26-34, 2009.
5. M. Sonka, and J. M. Fitzpatrick, Handbook of Medical Imaging Volume 2 Medical Image Processing and Analysis. SPIE-The international society for optical engineering., 2000, ch. 1.
6. J. C. Tilton, 2003, Hierarchical Image Segmentation Online Journal of Space Communication Issue NO.3 Winter Research and Applications
7. M. A. Moon, "Breast Density Predicts Mammography Failure", OB/GYN News. May 15, 2000.
8. S. K. Goergen, J. E. Evans, G. P. B. Cohen, and J. H. MacMillan, "Characteristics of breast carcinomas missed by screening radiologists", Radiology, vol. 204, 1997, pp. 131-135.
9. Working Party of the Radiologists Quality Assurance Coordinating Group, NHSBSP Publication No. 48. London, UK: NHSBSP, Computer aided detection in mammography, 2001.
10. H. Chan, K. Doi, C. J. Vyborny et al. "Improvement in radiologists' detection of clustered microcalcifications on mammograms." Radiology 25, pp. 1102-1110, 1990.
11. M. Muggiestone, R. Lomax, A. G. Gale et al. "The effect of prompting mammographic abnormalities on the human observer." In Proceedings of the Third International Workshop on Digital Mammography. Chicago, June 1996.
12. M. Hartswood, R. Procter, and J. Williams, "Prompting in mammography: Computer-aided Detection or Computer-aided Diagnosis?" in Proc. of the Second Medical Image Understanding and Analysis Conference, Leeds, July, 1998.
13. A. N. Selvan, R. Saatchi, B. P. Amavasai, J. R. Travis, "A Dissimilarity Visualisation System for CT: Pilot Study" in 2005 The International Conference on Computer as a Tool. EUROCON 2005, Volume 2, pp. 1007-1010.
14. J Suckling et al. The Mammographic Image Analysis Society Digital Mammogram Database Exerpta Medica. International Congress Series 1069, 1994, pp. 375-378.