期刊
ACADEMIC RADIOLOGY
卷 15, 期 5, 页码 535-555出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.acra.2008.01.014
关键词
CAD; lung nodule; pulmonary embolism; CT
资金
- NCI NIH HHS [CA93517, R01 CA093517, R01 CA093517-05] Funding Source: Medline
Computer-aided detection (CADe) and computer-aided diagnosis (CADx) have been important areas of research in the last two decades. Significant progress has been made in the area of breast cancer detection, and CAD techniques are being developed in many other areas. Recent advances in multidetector row computed tomography have made it an increasingly common modality for imaging of lung diseases. A thoracic examination using thin-section computed tomography contains hundreds of images. Detection of lung cancer and pulmonary embolism on computed tomographic (CT) examinations are demanding tasks for radiologists because they have to search for abnormalities in a large number of images, and the lesions can be subtle. If successfully developed, CAD can be a useful second opinion to radiologists in thoracic CT interpretation. In this review, we summarize the studies that have been reported in these areas, discuss some challenges in the development of CAD, and identify areas that deserve particular attention in future research.
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