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DeepCXray: Automatically Diagnosing Diseases on Chest X-Rays Using Deep Neural Networks.

, , , and . IEEE Access, (2018)

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Multi-task Learning for the Segmentation of Thoracic Organs at Risk in CT images., , , , and . SegTHOR@ISBI, volume 2349 of CEUR Workshop Proceedings, CEUR-WS.org, (2019)Automatic airway tree segmentation based on multi-scale context information., , , , , , and . Int. J. Comput. Assist. Radiol. Surg., 16 (2): 219-230 (2021)DeepLN: A framework for automatic lung nodule detection using multi-resolution CT screening images., , , , , , and . Knowl. Based Syst., (2020)MediMLP: Using Grad-CAM to Extract Crucial Variables for Lung Cancer Postoperative Complication Prediction., , , , , , , and . IEEE J. Biomed. Health Informatics, 24 (6): 1762-1771 (2020)The Gap in the Thickness: Estimating Effectiveness of Pulmonary Nodule Detection in Thick- and Thin-Section CT Images with 3D Deep Neural Networks., , , , , , , , , and 3 other author(s). Comput. Methods Programs Biomed., (February 2023)Automatic Diagnose of Drug-Resistance Tuberculosis from CT Images Based on Deep Neural Networks., , , , , , and . CICAI (2), volume 13605 of Lecture Notes in Computer Science, page 256-267. Springer, (2022)ICNoduleNet: Enhancing Pulmonary Nodule Detection Performance on Sharp Kernel CT Imaging., , , , and . IEEE J. Biomed. Health Informatics, 28 (8): 4751-4760 (August 2024)Efficient and Gender-Adaptive Graph Vision Mamba for Pediatric Bone Age Assessment., , , and . MICCAI (5), volume 15005 of Lecture Notes in Computer Science, page 230-239. Springer, (2024)A scale-aware UNet++ model combined with attentional context supervision and adaptive Tversky loss for accurate airway segmentation., , , and . Appl. Intell., 53 (15): 18138-18154 (August 2023)Application of Internet Plus: TCM Clinical Intelligent Decision Making., , , , , and . ICSI (2), volume 12690 of Lecture Notes in Computer Science, page 331-338. Springer, (2021)