Glomerular Lesion Recognition Based on Pathology Images With Annotation Noise via Noisy Label Learning
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3269792
Abstract: Background: Glomerular lesion recognition is one of the most crucial steps in the diagnosis of kidney disease. Deep learning, which relies on large numbers of pathology images, assists pathologists to access glomerular lesions more efficiently,… read more here.
Keywords: annotation noise; pathology images; pathology; lesion recognition ... See more keywords
Hyperspectral Imagery Noisy Label Detection by Spectral Angle Local Outlier Factor
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2018.2842792
Abstract: This letter presents the hyperspectral imagery (HSI) noisy label detection using a spectral angle and the local outlier factor (SALOF) algorithm. The noisy label is caused by a mislabeled training pixel, and thus, noisy training… read more here.
Keywords: label detection; detection; training samples; spectral angle ... See more keywords
Hyperspectral Classification With Noisy Label Detection via Superpixel-to-Pixel Weighting Distance
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2019.2961141
Abstract: Classification is an important technique for remotely sensed hyperspectral image (HSI) exploitation. Often, the presence of wrong (noisy) labels presents a drawback for accurate supervised classification. In this article, we introduce a new framework for… read more here.
Keywords: superpixel pixel; distance; noisy label; label detection ... See more keywords