Bingyi Liu

Advances in the application of deep learning in computed tomography imaging analysis of rare lung diseases

Deep learning applications across core stages of CT imaging analysis for rare respiratory diseases: image reconstruction and generation, lesion segmentation and detection, disease classification and diagnosis, and treatment response and prognosis prediction are summarized.