Neural Captioning for the ImageCLEF 2017 Medical Image Challenges

  title={Neural Captioning for the ImageCLEF 2017 Medical Image Challenges},
  author={David Lyndon and Ashnil Kumar and Jinman Kim},
Manual image annotation is a major bottleneck in the processing of medical images and the accuracy of these reports varies depending on the clinician’s expertise. Automating some or all of the processes would have enormous impact in terms of efficiency, cost and accuracy. Previous approaches to automatically generating captions from images have relied on hand-crafted pipelines of feature extraction and techniques such as templating and nearest neighbour sentence retrieval to assemble likely… CONTINUE READING