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Impact of a deep learning-based computer-aided detection system (BMAX) on CT findings and clinical parameters in screening-detected interstitial lung abnormalities: a cross-sectional study
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@article{{JTD}{125630}, author = {Furukawa, T., Akaike, K., Ichiyasu, H., Masuda, Y., Okabayashi, H., Hamada, S., Masunaga, A., Kawamura, K., Iyonaga, K., Johkoh, T., Fujimoto, K., Ichikado, K., Sakagami, T.}, title = {Impact of a deep learning-based computer-aided detection system (BMAX) on CT findings and clinical parameters in screening-detected interstitial lung abnormalities: a cross-sectional study}, journal = {Journal of Thoracic Disease}, volume = {0}, number = {0}, year = {2026}, url = {https://jtd.amegroups.org/article/view/125630} }