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Ultrasound-Based Detection of Lung Abnormalities Using Single Shot Detection Convolutional Neural Networks., , , , , , , , и . POCUS/BIVPCS/CuRIOUS/CPM@MICCAI, том 11042 из Lecture Notes in Computer Science, стр. 65-73. Springer, (2018)Deep Learning-Based Pneumothorax Detection in Ultrasound Videos., , , , , , , , , и 4 other автор(ы). SUSI/PIPPI@MICCAI, том 11798 из Lecture Notes in Computer Science, стр. 74-82. Springer, (2019)Fully-automated patient-level malaria assessment on field-prepared thin blood film microscopy images., , , , , , , , , и 15 other автор(ы). GHTC, стр. 1-8. IEEE, (2019)Weakly Semi-supervised Detector-based Video Classification with Temporal Context for Lung Ultrasound., , , , , , , , , и 1 other автор(ы). ICCV (Workshops), стр. 2475-2484. IEEE, (2023)Unsupervised ranking and characterization of differentiated clusters., , , , и . ISI, стр. 266. IEEE, (2013)Deep learning-based image evaluation for cervical precancer screening with a smartphone targeting low resource settings - Engineering approach., , , , , , , , и . EMBC, стр. 1944-1949. IEEE, (2020)Invariant recognition of cluttered scenes by a self-organizing ART architecture: CORT-X boundary segmentation., , и . Neural Networks, 2 (3): 169-181 (1989)Money on the Table: Statistical information ignored by Softmax can improve classifier accuracy., , и . CoRR, (2019)Automated microscopy and machine learning for expert-level malaria field diagnosis., , , , , , , и . GHTC, стр. 393-399. IEEE, (2015)Algorithms to predict moisture content of grain using relative humidity time-series., , , , , , , и . GHTC, стр. 1-8. IEEE, (2020)