FSS-2019-nCov: A deep learning architecture for semi-supervised few-shot segmentation of COVID-19 infection
M Abdel-Basset, V Chang, H Hawash… - Knowledge-Based …, 2021 - Elsevier
The newly discovered coronavirus (COVID-19) pneumonia is providing major challenges to
research in terms of diagnosis and disease quantification. Deep-learning (DL) techniques …
research in terms of diagnosis and disease quantification. Deep-learning (DL) techniques …
Semi-supervised classification using deep learning
BVA de Lima, ADD Neto, LES Silva… - 2019 8th Brazilian …, 2019 - ieeexplore.ieee.org
Semi-supervised learning considers the problem of classification when only a small subset
of the observations have corresponding classes labels. Unfortunately, labeling a sufficiently …
of the observations have corresponding classes labels. Unfortunately, labeling a sufficiently …
[PDF][PDF] Semi-Supervised Approach Using Nearest Neighbors Clustering and Deep Learning
The field of Deep Learning is in constant evolution, with new techniques and applications
being developed by the day. Of those techniques, semi-supervised deep learning have …
being developed by the day. Of those techniques, semi-supervised deep learning have …