Finding curvilinear structures in mammograms

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

Volumn 905, Issue , 1995, Pages 372-382

  Cernea, Nick ^a   Brady, Michael ^a  

^a UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

BLOOD VESSELS; MAMMOGRAPHY; ROBOTICS; VIRTUAL REALITY; X RAY SCREENS; X RAYS;

CURVILINEAR STRUCTURES; FIBROUS TISSUE; FILM DENSITY; MODEL-BASED ALGORITHMS; TRANSMITTED LIGHT;

COMPUTER VISION;

EID: 84956857338     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-49197-2_47     Document Type: Conference Paper

References (7)

1. NJ Cerneaz. Model-based analysis of mammograms. D.Phil thesis, Robotics Research Group, Oxford University, 1994.
2. MM Fleck. Spectre: an improved phantom edge finder. In Proceedings of the 11th Alvey Vision Conference, pages 127-132, University of Reading, UK, 25-28 September 1989.
3. RL Gregory. Eye and Brain: the psychology of Seeing. World University Library. McGraw-Hill Book Company, New York, 1973.
4. RM Haralick and LG Shapiro. Computer and Robot Vision, volume 1. AddisonWesley Publishing, Reading, Mass., 1992.
5. R Highnam. Model-based enhancement of mammographic images. D.Phil thesis, Programming Research Group, Oxford University, Trinity 1992.
6. RP Highnam, JM Brady, and BJ Shepstone. Computing the scatter component of mammographic images. IEEE Transactions on Medical Imaging, 13(2):301-313, 1994.
7. PC Johns and MJ Yaffe. X-ray characterisation of normal and neoplastic breast tissue. Physics in Medicine and Biology, 32:675-695, 1987.