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Found 5 papers, 0 papers with code
Pre-text Representation Transfer for Deep Learning with Limited Imbalanced Data : Application to CT-based COVID-19 Detection
We fuse the output of this layer with the predictions of a model induced with the traditional transfer learning performed over our pre-text transferred model.
Fast Semantic-Assisted Outlier Removal for Large-scale Point Cloud Registration
The volume of data to handle, and still elusive need to have the registration occur fully reliably and fully automatically, mean there is a need to innovate further.
Resetting the baseline: CT-based COVID-19 diagnosis with Deep Transfer Learning is not as accurate as widely thought
We hope that our reproducible investigation will help in curbing hype-driven claims for the critical problem of COVID-19 diagnosis, and pave the way for a more transparent performance evaluation of techniques for CT-based COVID-19 detection.
Boosting Deep Transfer Learning for COVID-19 Classification
COVID-19 classification using chest Computed Tomography (CT) has been found pragmatically useful by several studies.
Going Deep in Medical Image Analysis: Concepts, Methods, Challenges and Future Directions
Unique to this study is the Computer Vision/Machine Learning perspective taken on the advances of Deep Learning in Medical Imaging.
