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Data By the Bay is the first Data Grid conference matrix with 6 vertical application areas  spanned by multiple horizontal data pipelines, platforms, and algorithms.  We are unifying data science and data engineering, showing what really works to run businesses at scale.
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Friday, May 20 • 1:10pm - 1:30pm
Cancer Screening using Deep Learning

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Sad but true: most of radiology is mind-numbing tedium. Radiologists review hundreds of mammograms searching for tiny lesions; they meticulously draw contours around the heart in cardiac MRIs to measure volumes; they rely on manual checklists and decision trees to characterize liver disease. These are repetitive, boring tasks. They take a huge amount of time, leading to large medical bills, and they cause radiologist fatigue, resulting in frequent errors or inconsistencies. Automated decision support, in which the all of the tedious tasks are automated by computerized algorithms, is the holy grail of radiological interpretation. Using the latest deep learning technology in an intelligent cloud platform, Arterys is bringing radiological decision support to hospitals worldwide. We describe one example of our technology, detecting lung nodules in the openly available LIDC lung cancer imaging data set, including our data processing and deep learning strategies.

avatar for Daniel Golden

Daniel Golden

Senior Image Scientist, Arterys, Inc.
Dan is a Senior Image Scientist at Arterys, a San Francisco-based startup specializing in medical imaging visualization and quantification. He leads machine learning efforts at Arterys, working on using deep learning and convolutional neural networks for automatic detection, segmentation and classification of structures in MRI and CT images to provide decision support to clinical radiologists. He graduated from Stanford University with a PhD in... Read More →

Friday May 20, 2016 1:10pm - 1:30pm

Attendees (10)