Deep Learning for Lung Cancer Detection: Tackling the Kaggle Data Science Bowl 2017 Challenge
arXiv:1705.09435
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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Cited by in corpus (4)
- A Deep Convolutional Neural Network for Lung Cancer Diagnostic
- Fashionpedia: Ontology, Segmentation, and an Attribute Localization Dataset
- Learning Efficient, Explainable and Discriminative Representations for Pulmonary Nodules Classification
- Segmentation of Lung Tumor from CT Images using Deep Supervision