Evaluation of an artificial intelligence U-net algorithm for pulmonary nodule tracking on chest computed tomography images
Yuhei Takeshita,
Shiro Onozawa,
Shichiro Katase
et al.
Abstract:Objectives To apply image registration in the follow up of lung nodules and verify the feasibility of automatic tracking of lung nodules using an artificial intelligence (AI) method. Methods For this retrospective, observational study, patients with pulmonary nodules 5–30 mm in diameter on computed tomography (CT) and who had at least six months follow-up were identified. Two radiologists defined a ‘correct’ cuboid circumscribing each nodule which was used to judge the success/failure of nodule tracking. An AI… Show more
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