About The Project
Our team, alongside researchers at the Vision and Image Processing Research Group at The University of Waterloo, and the Waterloo Artificial Intelligence Institute, created Fibrosis-Net: a deep convolutional neural network tailored for the prediction of pulmonary fibrosis progression from chest CT images.
By leveraging explainability in a human-machine collaborative design strategy, the research team achieved state-of-the-art performance for lung decline progression prediction and demonstrated the efficacy of machine-driven design exploration for constructing deep neural network designs tailored for clinical decision support tasks.
- weeks to create
- when compared to winning solutions in the OSCI Pulmonary Fibrosis Progression Challenge
- GB of multimodal data to train Fibrosis-Net model