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The truth is hard to make: Validation of medical image registration.

, , , и . ICPR, стр. 2294-2300. IEEE, (2016)

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FRODO: Free rejection of out-of-distribution samples: application to chest x-ray analysis., , , и . CoRR, (2019)Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning., , , , , , , , , и 37 other автор(ы). CoRR, (2021)Semi-automatic construction of reference standards for evaluation of image registration., , , , , , и . Medical Image Anal., 15 (1): 71-84 (2011)Semi-automatic Reference Standard Construction for Quantitative Evaluation of Lung CT Registration., , , , и . MICCAI (2), том 5242 из Lecture Notes in Computer Science, стр. 1006-1013. Springer, (2008)elastix: A Toolbox for Intensity-Based Medical Image Registration., , , , и . IEEE Trans. Medical Imaging, 29 (1): 196-205 (2010)Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning., , , , , , , , , и 43 other автор(ы). IEEE Trans. Medical Imaging, 42 (3): 697-712 (марта 2023)Automated detection of nodules attached to the pleural and mediastinal surface in low-dose CT scans., , , , и . Medical Imaging: Computer-Aided Diagnosis, том 6915 из SPIE Proceedings, стр. 69150X. SPIE, (2008)Automated detection of pulmonary nodules from low-dose computed tomography scans using a two-stage classification system based on local image features., , , , и . Medical Imaging: Computer-Aided Diagnosis, том 6514 из SPIE Proceedings, стр. 651410. SPIE, (2007)Deep Learning for Chest X-ray Analysis: A Survey., , , , и . CoRR, (2021)Nodule detection and generation on chest X-rays: NODE21 Challenge., , , , , , , , , и 9 other автор(ы). CoRR, (2024)