Predicting pathogenicity of missense variants with weakly supervised regression
Sign Up to like & getrecommendations! Published in 2019 at "Human Mutation"
DOI: 10.1002/humu.23826
Abstract: Quickly growing genetic variation data of unknown clinical significance demand computational methods that can reliably predict clinical phenotypes and deeply unravel molecular mechanisms. On the platform enabled by the Critical Assessment of Genome Interpretation (CAGI),… read more here.
Keywords: supervised regression; regression; weakly supervised; pathogenicity ... See more keywords
Weakly Supervised Breast Lesion Detection in DCE-MRI using Self-Transfer Learning.
Sign Up to like & getrecommendations! Published in 2023 at "Medical physics"
DOI: 10.1002/mp.16296
Abstract: BACKGROUND Breast cancer is a typically diagnosed and life-threatening cancer in women. Thus, dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is increasingly used for breast lesion detection and diagnosis because of the high resolution of soft… read more here.
Keywords: weakly supervised; breast; lesion detection; dce mri ... See more keywords
Weakly supervised perivascular spaces segmentation with salient guidance of Frangi filter
Sign Up to like & getrecommendations! Published in 2023 at "Magnetic Resonance in Medicine"
DOI: 10.1002/mrm.29593
Abstract: To develop a weakly supervised 3D perivascular spaces (PVS) segmentation model that combines the filter‐based image processing algorithm and the convolutional neural network. read more here.
Keywords: supervised perivascular; spaces segmentation; weakly supervised; perivascular spaces ... See more keywords
Learning Domain‐specific Semantic Representation from Weakly Supervised Data to Improve Research Dataset Retrieval
Sign Up to like & getrecommendations! Published in 2022 at "Proceedings of the Association for Information Science and Technology"
DOI: 10.1002/pra2.616
Abstract: Along with the development of the data‐driven research paradigm, there are exponentially increasing datasets, which bring challenges to researchers in the efficient retrieval of relevant datasets. Previous studies mainly focused on query expansion methods based… read more here.
Keywords: weakly supervised; domain specific; retrieval; representation ... See more keywords
A robust weakly supervised learning of deep Conv-Nets for surface defect inspection
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DOI: 10.1007/s00521-020-04819-5
Abstract: Automatic defect detection is a challenging task owing to the complex textured background with non-uniform intensity distribution, weak differences between defects and background, diversity of defect types, and high cost of annotated samples. In order… read more here.
Keywords: robust weakly; learning deep; weakly supervised; segmentation ... See more keywords
Weakly-supervised Semantic Guided Hashing for Social Image Retrieval
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Computer Vision"
DOI: 10.1007/s11263-020-01331-0
Abstract: Hashing has been widely investigated for large-scale image retrieval due to its search effectiveness and computation efficiency. In this work, we propose a novel Semantic Guided Hashing method coupled with binary matrix factorization to perform… read more here.
Keywords: image; weakly supervised; image retrieval; social image ... See more keywords
Supervised and weakly supervised deep learning models for COVID-19 CT diagnosis: A systematic review
Sign Up to like & getrecommendations! Published in 2022 at "Computer Methods and Programs in Biomedicine"
DOI: 10.1016/j.cmpb.2022.106731
Abstract: Artificial intelligence (AI) and computer vision (CV) methods become reliable to extract features from radiological images, aiding COVID-19 diagnosis ahead of the pathogenic tests and saving critical time for disease management and control. Thus, this… read more here.
Keywords: review; deep learning; weakly supervised; covid diagnosis ... See more keywords
Weakly Supervised Object Detection with 2D and 3D Regression Neural Networks
Sign Up to like & getrecommendations! Published in 2020 at "Medical image analysis"
DOI: 10.1016/j.media.2020.101767
Abstract: Finding automatically multiple lesions in large images is a common problem in medical image analysis. Solving this problem can be challenging if, during optimization, the automated method cannot access information about the location of the… read more here.
Keywords: attention maps; detection; image; weakly supervised ... See more keywords
Weakly-supervised learning of multi-modal features for regularised iterative descent in 3D image registration
Sign Up to like & getrecommendations! Published in 2021 at "Medical image analysis"
DOI: 10.1016/j.media.2020.101822
Abstract: Methods for deep learning based medical image registration have only recently approached the quality of classical model-based image alignment. The dual challenge of both a very large trainable parameter space and often insufficient availability of… read more here.
Keywords: image; image registration; weakly supervised; multi modal ... See more keywords
Deep clustering for weakly-supervised semantic segmentation in autonomous driving scenes
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DOI: 10.1016/j.neucom.2019.11.019
Abstract: Abstract Weakly-supervised semantic segmentation (WSSS) using only tags can significantly ease the label costing, because full supervision needs pixel-level labeling. It is, however, a very challenging task because it is not straightforward to associate tags… read more here.
Keywords: image; weakly supervised; segmentation; semantic segmentation ... See more keywords
A weakly supervised framework for abnormal behavior detection and localization in crowded scenes
Sign Up to like & getrecommendations! Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2019.11.087
Abstract: Abstract In this paper, a weakly supervised framework is proposed for Abnormal Behavior Detection and Localization (ABDL) in the scenes. First, the objects in the scene such as pedestrians, vehicles, etc. are detected using the… read more here.
Keywords: abnormal behavior; weakly supervised; framework; behavior detection ... See more keywords