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Classification based micro-calcification detection using discriminative restricted Boltzmann machine in digitized mammograms., , и . Medical Imaging: Computer-Aided Diagnosis, том 9035 из SPIE Proceedings, стр. 90351L. SPIE, (2014)Optimization of local shape and appearance probabilities for segmentation of knee cartilage in 3-D MR images., , , , и . Comput. Vis. Image Underst., 115 (12): 1710-1720 (2011)Dual Exposure Fusion with Entropy-based Residual Filtering., , и . KSII Trans. Internet Inf. Syst., 11 (5): 2555-2575 (2017)Deep Learning for Counting People from UWB Channel Impulse Response Signals., , , и . Sensors, 23 (16): 7093 (августа 2023)Fully automatic 3-D segmentation of knee bone compartments by iterative local branch-and-mincut on MR images from osteoarthritis initiative (OAI)., , , , , , , и . ICIP, стр. 3381-3384. IEEE, (2009)A New 3-D Model Retrieval System Based on Aspect-Transition Descriptor., , , , , и . ECCV (4), том 3954 из Lecture Notes in Computer Science, стр. 543-554. Springer, (2006)Deep Vessel Segmentation By Learning Graphical Connectivity., , , и . CoRR, (2018)3-D segmentation of articular cartilages by graph cuts using knee MR images from osteoarthritis initiative., , , , , , , , и . Medical Imaging: Image Processing, том 6914 из SPIE Proceedings, стр. 691448. SPIE, (2008)Scale Space Approximation in Convolutional Neural Networks for Retinal Vessel Segmentation., , и . CoRR, (2018)Multimodal Registration of Fundus Images With Fluorescein Angiography for Fine-Scale Vessel Segmentation., , , и . IEEE Access, (2020)