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2017 GTC San Jose

S7577 - Data Science Bowl Lung Challenge

Session Speakers
Session Description

Deep learning is currently overhauling the field of medical image analysis and computer-aided diagnosis. Recent results in various areas show that deep networks that analyze the contents of medical images, trained with large amounts of data, obtain results close to or better than human experts for diagnostic tasks in radiology, pathology, ophthalmology, and dermatology. One particular area is the analysis of chest computed tomography (CT) scans. This is of particular interest because screening with low-dose CT for lung cancer is currently being implemented on a large scale in the Unitied States and other countries, after large studies have shown that this is the most promising strategy to reduce the number of deaths due to lung cancer, by far the largest cancer killer. Screening for lung cancer will produce many millions of CT scans that under current guidelines would have to be analyzed by radiologists. Automation could streamline and improve that process, and reduce the high costs associated with screening. We'll show the background of CT image analysis, explain how clinical experts read CT scans following the current guidelines, and show results from deep learning, in particular


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