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On Combining Multiple-Instance Learning and Active Learning for Computer-Aided Detection of Tuberculosis.

, , , , , and . IEEE Trans. Medical Imaging, 35 (4): 1013-1024 (2016)

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Automated Estimation of Total Lung Volume using Chest Radiographs and Deep Learning., , , , , and . CoRR, (2021)AIROGS: Artificial Intelligence for RObust Glaucoma Screening Challenge., , , , , , , , , and 26 other author(s). CoRR, (2023)Deep learning for chest X-ray analysis: A survey, , , , and . Medical Image Analysis, (August 2021)Automatic Detection of Tuberculosis in Chest Radiographs Using a Combination of Textural, Focal, and Shape Abnormality Analysis., , , , , , , , , and . IEEE Trans. Medical Imaging, 34 (12): 2429-2442 (2015)DIRBoost-An algorithm for boosting deformable image registration: Application to lung CT intra-subject registration., , , and . Medical Image Anal., 18 (3): 449-459 (2014)Computer aided detection of tuberculosis on chest radiographs: An evaluation of the CAD4TB v6 system., , , , , , , , , and 3 other author(s). CoRR, (2019)Reflectance and texture of real-world surfaces, , , and . ACM Transactions on Graphics, 18 (1): 1--34 (1999)Deep Learning in Image Diagnostics: Recent Results and Outlook.. ICPRAM, page 5. SciTePress, (2019)Potential of a Standalone Computer-Aided Detection System for Breast Cancer Detection in Screening Mammography., , , , and . Digital Mammography / IWDM, volume 7361 of Lecture Notes in Computer Science, page 682-689. Springer, (2012)Fusion of Local and Global Detection Systems to Detect Tuberculosis in Chest Radiographs., , , , , and . MICCAI (3), volume 6363 of Lecture Notes in Computer Science, page 650-657. Springer, (2010)