Graph CNNs for image segmentation of thoracic images for automating COVID-19 diagnosis
Budget: $30 – $250 USD
1. Designing a framework to convert thoracic CT images into a graph-representation, specifically for lung-region based segmentation.
2. Designing a Graph-CNN to perform semantic segmentation to separate different Regions of Interest as a prerequisite to the classifier
3. Designing a classifier based on medical statistics of lung-appearances in COVID affected and healthy patients to decide whether a patient is infected or not.
2. Designing a Graph-CNN to perform semantic segmentation to separate different Regions of Interest as a prerequisite to the classifier
3. Designing a classifier based on medical statistics of lung-appearances in COVID affected and healthy patients to decide whether a patient is infected or not.