Medical image databases for CAD applications in digital mammography: design issues.
The evaluation of algorithms' developed for computer assisted diagnosis in digital mammography requires image databases that allow relative comparisons and assessment of algorithms clinical value. A review of the literature indicates that there is no consensus on the guidelines of how databases should be established. Image selection is usually done based on subjective criteria or availability. The generation of common database(s) available to the research community makes relative evaluations of algorithms with similar properties easier. However, questions regarding the "right database size," the "right image resolution," and the "right contents" remain. In this paper, database issues are reviewed and discussed and possible remedies to the various problems are proposed.
Kallergi
M
M
Department of Radiology, University of South Florida, Tampa 33612, USA.
Clark
R A
RA
Clarke
L P
LP
D000465:Algorithms; D001185:Artificial Intelligence; D003628:Database Management Systems; D003936:Diagnosis, Computer-Assisted; D005103:Expert Systems; D005260:Female; D006801:Humans; D008327:Mammography; D011856:Radiographic Image Enhancement; D011873:Radiology Information Systems; D012680:Sensitivity and Specificity