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2017 GTC San Jose

S7238 - GPU Acceleration of Airway Reconstruction Guided Deep Learning on Lung Cancer Detection

Session Speakers
Session Description

Recent research in deep learning has reached a state-of-art accuracy in various domains, including image classification, voice recognition, natural language processing, music generation, drug discovery, and genomics. In the diagnoses of lung diseases, the structure of the airway is critical for doctors to recognize abnormal sites such as cancer or tumors. The process of 3D airway reconstruction can work as feature extraction to help the recognition of benign tumors. While both the reconstruction and the deep learning requires a large computational resource and memory usage, these tasks are also time-consuming. With the advent of ever-improving GPUs, parallel programing can largely enhance the performance of lung cancer detection.


Additional Session Information
Intermediate
Talk
AI in Healthcare Summit Deep Learning and AI Healthcare and Life Sciences Medical Imaging
Healthcare & Life Sciences Higher Education / Research
25 minutes
Session Schedule