Lung cancer imaging biomarker development on computed tomography using artificial intelligence
Altis Labs and UHN are collaborating to develop and validate novel lung cancer imaging biomarkers using deep learning. This project will entail labeling the data to develop detection, segmentation, and classification algorithms. We will explore the potential clinical utility when incorporating algorithms into physician workflow. Our goal is to develop robust algorithms that can be applied in clinical settings to improve patient care and outcomes.
- develop state-of-the-art nodule detection and classification algorithms
- test algorithms' utility on screening, diagnostic, and staging workflows
Joint Department of Medical Imaging and Quantitative Imaging for Personalized Cancer Medicine, UHN
Research and Development, Altis Labs