Abstract:
: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.
journal_name
Acad Radioljournal_title
Academic radiologyauthors
Chan HP,Hadjiiski L,Zhou C,Sahiner Bdoi
10.1016/j.acra.2008.01.014subject
Has Abstractpub_date
2008-05-01 00:00:00pages
535-55issue
5eissn
1076-6332issn
1878-4046pii
S1076-6332(08)00047-0journal_volume
15pub_type
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更新日期:2009-01-01 00:00:00
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journal_title:Academic radiology
pub_type: 杂志文章,随机对照试验
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更新日期:1995-09-01 00:00:00
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journal_title:Academic radiology
pub_type: 杂志文章
doi:10.1016/j.acra.2007.06.014
更新日期:2007-10-01 00:00:00
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pub_type: 杂志文章
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