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Ultrasound-Based Detection of Lung Abnormalities Using Single Shot Detection Convolutional Neural Networks.

, , , , , , , , and . POCUS/BIVPCS/CuRIOUS/CPM@MICCAI, volume 11042 of Lecture Notes in Computer Science, page 65-73. Springer, (2018)

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