低剂量 CT 中的人工智能增强 CAD:平衡肺癌筛查的准确性、效率和过度诊断。

IF 2.3 3区 医学 Q3 ONCOLOGY
Yun-Ju Wu, Fu-Zong Wu
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引用次数: 0

摘要

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AI-Enhanced CAD in Low-Dose CT: Balancing Accuracy, Efficiency, and Overdiagnosis in Lung Cancer Screening.
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来源期刊
Thoracic Cancer
Thoracic Cancer ONCOLOGY-RESPIRATORY SYSTEM
CiteScore
5.20
自引率
3.40%
发文量
439
审稿时长
2 months
期刊介绍: Thoracic Cancer aims to facilitate international collaboration and exchange of comprehensive and cutting-edge information on basic, translational, and applied clinical research in lung cancer, esophageal cancer, mediastinal cancer, breast cancer and other thoracic malignancies. Prevention, treatment and research relevant to Asia-Pacific is a focus area, but submissions from all regions are welcomed. The editors encourage contributions relevant to prevention, general thoracic surgery, medical oncology, radiology, radiation medicine, pathology, basic cancer research, as well as epidemiological and translational studies in thoracic cancer. Thoracic Cancer is the official publication of the Chinese Society of Lung Cancer, International Chinese Society of Thoracic Surgery and is endorsed by the Korean Association for the Study of Lung Cancer and the Hong Kong Cancer Therapy Society. The Journal publishes a range of article types including: Editorials, Invited Reviews, Mini Reviews, Original Articles, Clinical Guidelines, Technological Notes, Imaging in thoracic cancer, Meeting Reports, Case Reports, Letters to the Editor, Commentaries, and Brief Reports.
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