Le Lu, staff scientist at the National Institutes of Health (NIH) shares how they are applying artificial intelligence techniques to assist cancer clinicians make better diagnostic decisions.
Using NVIDIA Tesla GPUs and the cuDNN-accelerated Caffe deep learning framework, Lu and his team trained their model on nearly one million patient cases which helped them develop better medical image understanding tools and imaging biomarkers that can more precisely examine how well the cancer treatment worked.
“Deep learning enables us to do things in a new perspective and we can achieve much better performance than before,” said Dr. Lu who has been a staff scientist in the Department of Radiology and Imaging Sciences at NIH since 2013. “We are bridging the gap that can really help people in the real world.”
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Share Your Science: Combating Cancer with Deep Learning
Jan 24, 2017
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AI-Generated Summary
- Le Lu, a staff scientist at the National Institutes of Health (NIH), is using artificial intelligence to help cancer clinicians make better diagnostic decisions.
- Lu and his team trained their model on nearly one million patient cases using NVIDIA Tesla GPUs and the cuDNN-accelerated Caffe deep learning framework.
- The project has led to the development of better medical image understanding tools and imaging biomarkers that can more precisely examine the effectiveness of cancer treatment.
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