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arXiv · 1705.09435

Deep Learning for Lung Cancer Detection: Tackling the Kaggle Data Science Bowl 2017 Challenge

Kingsley Kuan·Mathieu Ravaut·Gaurav Manek·Huiling Chen·Jie Lin·Babar Nazir·Cen Chen·Tse Chiang Howe·Zeng Zeng·Vijay Chandrasekhar
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Abstract

We present a deep learning framework for computer-aided lung cancer diagnosis. Our multi-stage framework detects nodules in 3D lung CAT scans, determines if each nodule is malignant, and finally assigns a cancer probability based on these results. We discuss the challenges and advantages of our framework. In the Kaggle Data Science Bowl 2017, our framework ranked 41st out of 1972 teams.

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Kingsley Kuan, Mathieu Ravaut, Gaurav Manek, Huiling Chen, Jie Lin, Babar Nazir, Cen Chen, Tse Chiang Howe, Zeng Zeng, Vijay Chandrasekhar. 2017-05-26. Deep Learning for Lung Cancer Detection: Tackling the Kaggle Data Science Bowl 2017 Challenge. https://arxiv.org/abs/1705.09435

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