Researchers from Beth Israel Deaconess Medical Center (BIDMC) and Harvard Medical School have developed a deep learning approach to read and interpret pathology images. Trained on Tesla K80 GPUs with the cuDNN-accelerated Caffe deep learning framework, their system achieved 92 percent accuracy at identifying breast cancer in images of lymph nodes which earned them the
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