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| Digital Mammography |
Digital mammography is currently the most effective method of early detection of breast cancer which is essential for successful treatment. The mammograms are searched for signs of abnormalities such as microcalcifications which are very complex in appearance, it takes many hours or even sometimes it is impossible to detect and classify them by expert radiologists. In this research, we investigate the significance of a number of statistical feature extraction techniques and an automatic neural-fuzzy based method for detection and classification of microcalcifications. Please refer to the following paper [1] for our recent work.
References
[1] Verma, B.K. and Zakos, J. (2000). A Computer-Aided Diagnosis System For Digital Mammograms Based On Fuzzy-Neural And Feature Extraction Techniques, IEEE Transactions on Information Technology in Biomedicine.
[2] Download - Breast Cancer Diagnoser
The Mammographic
Image Analysis Society (MIAS) which is an organisation of UK research
groups interested in the understanding of mammograms. The Mammography
Image Databases situated at The Computer Vision Laboratory (University
of South Florida) which also provides information about other sites. Brandeis
University. Detector development and digital mammography. Lawrence
Livermore National Laboratory. Microcalcification detection. University
of Toronto. Classification of mammographic density and solid state
detectors. Hxgskolen
i Stavanger. Multichannel filtering to find features in mammograms. Lawrence
Livermore National Laboratory (again). Microcalcification detection. Naval
Surface Warfare Center - Dahlgren Division. Texture segmentation using
fractal based features. University
of North Carolina at Durham. Image database to be and image enhancement
with Sharpened Adaptive Histogram Equalization. The
David Sarnoff Research Center. Neural networks and pyramid image processing
to detect microcalcifications. The
Ultrasonics Laboratory in Australia. Lesion detection and microcalcification
characterisation. Wright
Laboratory Armament Directorate - US Air Force. Wavelet transform techniques
combined with an image processing language and special hardware. UNC
Radiology Teaching File Mammography Section. Several examples images
available. The
Royal Marsden Hospital. General medical info. Breast
Cancer in Australia. Commercial, but lots of general info about breast
cancer down under (including Japan and China). Medical
Imaging Internet Resources. Links and info on medical images and where
to get them in the world. A
short course on mammography. Example images with explanations. Breast
Cancer Information Clearinghouse. General information about breast
cancer. Washington
University (St. Louis). Digitally acquired database.