Lung cancer risk estimation on thorax CT scans - DSB2017 JulianDaniel
- Generic Medical Image
- Generic Overlay (An overlay of unknown type. Legacy, please use alternative interfaces.)
- Results JSON File (A collection of results of unknown type. Legacy, if possible please use alternative interfaces.)
This algorithm analyzes non-contrast CT scans of the thorax and predicts the lung cancer risk. The algorithm was developed by Julian de Wit and Daniel Hammack. The algorithm descriptions and code are publicly available: report Daniel Hammack, code Daniel Hammack, report Julian de Wit, code Julian de Wit.
This algorithm was developed as part of the Kaggle Data Science Bowl in 2017 and won the second place in this challenge.
Uses and Directions
This algorithm was developed for research purposes only.