The present study evaluated the diagnostic performance of artificial intelligence-based computer-aided diagnosis (AI-CAD) compared to that of dedicated breast radiologists in characterizing suspicious microcalcification on mammography. We retrospectively analyzed 435 unilateral mammographies fro...
Background: In an ongoing study of racial/ethnic disparities in breast cancer stage at diagnosis, we consented patients to allow us to review their mammogr... Rauscher,H Garth,Conant,... - 《Bmc Cancer》 被引量: 16发表: 2013年 An abnormal screening mammogram causes more anxiety than a pa...
(a BMRI expert, two mammographers, and two body imaging fellows) manually classified 75 BMRI datasets (80 lesions), both with and without CAD system assistance. The performance of the computer classi- fiers and human readers were compared using ROC curves, and the human readers’ ...
Oncology: Breast Cancer package with an automatic AI Triage mammography solution that indicates “suspicious” versus “non suspicious” for usage in diagnostic 2D mammography. The mammo CAD solution is CE marked and the Triage solution is currently for investigational use only. “...
The present study evaluated the diagnostic performance of artificial intelligence-based computer-aided diagnosis (AI-CAD) compared to that of dedicated breast radiologists in characterizing suspicious microcalcification on mammography. We retrospectively analyzed 435 unilateral mammographies from 420 patients (...
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CR prepares to challenge solid-state digital mammo Karen Sandrick November 1st 2008 Since full-field mammographystarted going digital eight yearsago, systems based on flat-panelarrays have dominated. But computedradiography has begun seeping intothat market and, if the FDA allowsCR companies to apply...