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COVID-CT-Dataset: A CT Scan Dataset about COVID-19
CT scans are promising in providing accurate, fast, and cheap screening ...
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When Does Self-Supervision Help Graph Convolutional Networks?
Self-supervision as an emerging technique has been employed to train con...
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JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and Segmentation
Recently, the novel coronavirus 2019 (COVID-19) has caused a pandemic di...
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A deep learning-based method for relative location prediction in CT scan images
Relative location prediction in computed tomography (CT) scan images is ...
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Uncertainty-Aware Semi-supervised Method using Large Unlabelled and Limited Labeled COVID-19 Data
The new coronavirus has caused more than 1 million deaths and continues ...
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Coronavirus (COVID-19) Classification using Deep Features Fusion and Ranking Technique
Coronavirus (COVID-19) emerged towards the end of 2019. World Health Org...
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Scribble-Supervised Semantic Segmentation by Random Walk on Neural Representation and Self-Supervision on Neural Eigenspace
Scribble-supervised semantic segmentation has gained much attention rece...
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Targeted Self Supervision for Classification on a Small COVID-19 CT Scan Dataset
Traditionally, convolutional neural networks need large amounts of data labelled by humans to train. Self supervision has been proposed as a method of dealing with small amounts of labelled data. The aim of this study is to determine whether self supervision can increase classification performance on a small COVID-19 CT scan dataset. This study also aims to determine whether the proposed self supervision strategy, targeted self supervision, is a viable option for a COVID-19 imaging dataset. A total of 10 experiments are run comparing the classification performance of the proposed method of self supervision with different amounts of data. The experiments run with the proposed self supervision strategy perform significantly better than their non-self supervised counterparts. We get almost 8 full self supervision when compared to no self supervision. The results suggest that self supervision can improve classification performance on a small COVID-19 CT scan dataset. Code for targeted self supervision can be found at this link: https://github.com/Mewtwo/Targeted-Self-Supervision/tree/main/COVID-CT
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