Projects
CT Alignment and Lesion DetectionBed allocationAI DictionarySynthetic DataNursing Placement Schedule OptimisationLong Stayer Risk Stratification baselineAmbulance Handover Delay PredictorParkinson's Disease Pathology PredictionRenal Health PredictionAdrenal Lesions DetectionOpen SafelyNWASNegligence Claims PredictionRecruitment ShortlistingAutomating Clinical coding
Case Study Archive
Team
CT Alignment and Lesion Detection
A range of classical and machine learning computer vision techniques to align and detect lesions in anomyised CT scans over time from George Eliot Hospital NHS Trust.
ct
computer vision
image registration
lesion detection
As the successful candidate from the AI Skunkworks problem-sourcing programme, CT Alignment and Lesion Detection was first picked as a pilot project for the AI Skunkworks team in April 2021.
Results
A proof-of-concept demonstrator written in Python (user interface, classical computer vision models, notebooks with machine learning models).
Output | Link |
---|---|
Open Source Code & Documentation | Github |
Case Study | Case Study |
Technical report | |
Video walkthrough | Youtube |