Paper
3 July 2001 Development of a multiple-template matching technique for removal of false positives in a computer-aided diagnostic scheme
Qiang Li, Shigehiko Katsuragawa, Roger M. Engelmann, Samuel G. Armato III, Heber MacMahon, Kunio Doi
Author Affiliations +
Abstract
A problem in most current computer-aided diagnostic (CAD) scheme is the relatively large number of false positives that are incorrectly reported as nodules by the scheme. Therefore, in this study, we developed a multiple-templates matching technique to significantly reduce the number of false positives in our CAD scheme. With this technique applied to our CAD scheme for detection of pulmonary nodules in chest radiographs, we removed a large number of false positives (44.3%) with reduction of a small number of true positives (2.3%). We believe that this technique has the potential to significantly improve the performance of many different CAD schemes for detection of various lesions in medical images including nodules in chest radiographs, masses and microcalcifications in mammograms, nodules, colon polyps, liver tumors, and aneurysms in CT images.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Qiang Li, Shigehiko Katsuragawa, Roger M. Engelmann, Samuel G. Armato III, Heber MacMahon, and Kunio Doi "Development of a multiple-template matching technique for removal of false positives in a computer-aided diagnostic scheme", Proc. SPIE 4322, Medical Imaging 2001: Image Processing, (3 July 2001); https://doi.org/10.1117/12.431065
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Computer aided diagnosis and therapy

Medical imaging

Chest imaging

Colon

Computed tomography

Image processing

Liver

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