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A shape constrained MAP-EM algorithm for colorectal segmentation., , , , и . Medical Imaging: Computer-Aided Diagnosis, том 8670 из SPIE Proceedings, стр. 86702F. SPIE, (2013)A framework for least squares nonnegative matrix factorizations with Tikhonov regularization., , , , , , и . Neurocomputing, (2020)Algorithm Design for Edge Detection of High-Speed Moving Target Image under Noisy Environment., , , и . Sensors, 19 (2): 343 (2019)Texture Feature Analysis for Computer-Aided Diagnosis on Pulmonary Nodules., , , , , , , , , и . J. Digital Imaging, 28 (1): 99-115 (2015)Predicting unnecessary nodule biopsy for a small lung cancer screening dataset by less-abstractive deep features., , , , , , и . Medical Imaging: Computer-Aided Diagnosis, том 10950 из SPIE Proceedings, стр. 109503Q. SPIE, (2019)Predicting Unnecessary Nodule Biopsies from a Small, Unbalanced, and Pathologically Proven Dataset by Transfer Learning., , , , , , , , , и 1 other автор(ы). J. Digit. Imaging, 33 (3): 685-696 (2020)A new 3D texture feature based computer-aided diagnosis approach to differentiate pulmonary nodules., , , , , , , и . Medical Imaging: Computer-Aided Diagnosis, том 8670 из SPIE Proceedings, стр. 86702Z. SPIE, (2013)Fast and Adaptive Detection of Pulmonary Nodules in Thoracic CT Images Using a Hierarchical Vector Quantization Scheme., , , , , и . IEEE J. Biomed. Health Informatics, 19 (2): 648-659 (2015)A Leasing Instances Based Billing Model for Cloud Computing., , , , , , , , , и . GPC, том 6646 из Lecture Notes in Computer Science, стр. 33-41. Springer, (2011)Risk prediction of small pulmonary nodules based on novel CT image texture markers., , , , и . Medical Imaging: Computer-Aided Diagnosis, том 10134 из SPIE Proceedings, стр. 101343Q. SPIE, (2017)