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Found 5 papers, 1 papers with code
Diverse and Consistent Multi-view Networks for Semi-supervised Regression
Label collection is costly in many applications, which poses the need for label-efficient learning.
Semi-supervised classification of radiology images with NoTeacher: A Teacher that is not Mean
Specifically, we describe adaptations for scenarios with 2D and 3D inputs, uni and multi-label classification, and class distribution mismatch between labeled and unlabeled portions of the training data.
Self-Path: Self-supervision for Classification of Pathology Images with Limited Annotations
In this paper, we propose a self-supervised CNN approach to leverage unlabeled data for learning generalizable and domain invariant representations in pathology images.
Semi-supervised and Unsupervised Methods for Heart Sounds Classification in Restricted Data Environments
Automated heart sounds classification is a much-required diagnostic tool in the view of increasing incidences of heart related diseases worldwide.
Semi-Supervised Deep Learning for Abnormality Classification in Retinal Images
Supervised deep learning algorithms have enabled significant performance gains in medical image classification tasks.
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