Part of the winning team in the Lung Cancer AI Grand Challenge (2020); among 1100 participants from 37 countries.
Published findings as winning team in the International Conference on Image Analysis and Recognition (2020).
Achievements:
- Metrics: Sensitivity- 94% | Specificity- 90% | Accuracy- 77%
- Achieved state-of-the-art accuracy in segmenting lung cancer from CT scans using deep learning.
- Developed an automated workflow for follow-up recommendations based on CT scans; improving radiologist performance and workload.