arXiv:1705.09435
Deep Learning for Lung Cancer Detection: Tackling the Kaggle Data Science Bowl 2017 Challenge
원문 초록
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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Explainability Through Human-Centric Design for XAI in Lung Cancer Detection
Implementing Trust in Non-Small Cell Lung Cancer Diagnosis with a Conformalized Uncertainty-Aware AI Framework in Whole-Slide Images
Medical Artificial Intelligence for Early Detection of Lung Cancer: A Survey
MSDet: Receptive Field Enhanced Multiscale Detection for Tiny Pulmonary Nodule
Snuffy: Efficient Whole Slide Image Classifier
A Cross Spatio-Temporal Pathology-based Lung Nodule Dataset
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