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27 June 1988 Image-Processing Techniques Used In The Computer-Aided Detection Of Radiographic Lesions In Anatomic Background
Maryellen L. Giger; Kunio Doi; Heber MacMahon; Fang-Fang Yin
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Proceedings Volume 0914, Medical Imaging II; (1988) https://doi.org/10.1117/12.968691
Event: Medical Imaging II, 1988, Newport Beach, CA, United States
Abstract
We are develo1pipg feature-extraction techniques for use in the computer-aided detection of pulmonary nodules in digital chest images. Use of such a computer-aided detection scheme, which would alert radiologists to the locations of suspected lung nodules, is expected to reduce the number of false-negative dieggoses. False-negative diagnoses (i.e., misses) are a current problem in chest radiology with "miss-rates" as high as 30%. This may be due to the camouflaging effect of surrounding anatomic background on the nodule, or to the subjective and varying decision criteria used by radiologists.
© (1988) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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Maryellen L. Giger, Kunio Doi, Heber MacMahon, and Fang-Fang Yin "Image-Processing Techniques Used In The Computer-Aided Detection Of Radiographic Lesions In Anatomic Background", Proc. SPIE 0914, Medical Imaging II, (27 June 1988); https://doi.org/10.1117/12.968691
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