Dense Pixel-Labeling for Reverse-Transfer and Diagnostic Learning on Lung Ultrasound for COVID-19 and Pneumonia Detection. (arXiv:2201.10166v1 [eess.IV])

We propose using a pre-trained segmentation model to perform diagnostic
classification in order to achieve better generalization and interpretability,
terming the technique reverse-transfer learning. We present an architecture to
convert segmentation models to classification models. We compare and contrast
dense vs sparse segmentation labeling and study its impact on diagnostic
classification. We compare the performance of U-Net trained with dense and
sparse labels to segment A-lines, B-lines, and Pleural lines on a custom
dataset of lung ultrasound scans from 4 …

arxiv covid covid-19 detection labeling learning pixel