User-Guided Data Expansion Modeling to Train Deep Neural Networks With Little Supervision
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3201437
Abstract: Image segmentation is a challenging and essential task in remote sensing. Deep neural networks (DNNs) have successfully segmented images from different domains, but the models usually require time-consuming and expensive pixel-level data annotation. In this… read more here.
Keywords: neural networks; guided data; deep neural; data expansion ... See more keywords
Domain-guided data augmentation for deep learning on medical imaging
Sign Up to like & getrecommendations! Published in 2022 at "PLOS ONE"
DOI: 10.1371/journal.pone.0282532
Abstract: While domain-specific data augmentation can be useful in training neural networks for medical imaging tasks, such techniques have not been widely used to date. Our objective was to test whether domain-specific data augmentation is useful… read more here.
Keywords: guided data; data augmentation; augmentation; medical imaging ... See more keywords