Abstract
Takeshita Y, Onozawa S, Katase S, et al. Evaluation of an artificial intelligence U-net algorithm for pulmonary nodule tracking on chest computed tomography images. Journal of International Medical Research. 2024; 52(2). doi:10.1177/03000605241230033
The authors regret that they provided the wrong figure earlier due to an error which has now been modified as they provided the correct figure after publication of the article.
The figure legends contain the correct text.
The Journal Editor confirms that the changes to the figure do not change the results and conclusions.
The authors apologize to readers for this inadvertent error.
The evaluation method. A cuboid circumscribing the nodule was defined for each nodule by the consensus of two radiologists and used to judge the success or failure of the nodule tracking. If the calculated point was inside the ‘correct’ cuboid, it was considered successful, otherwise, it was considered a failure.