3 citations · 10 across the 6 of their papers we have counts for
3 papers · 1 filter
Longer Version for "Deep Context-Encoding Network for Retinal Image Captioning"
Jia-Hong Huang, Ting-Wei Wu, Chao-Han Huck Yang +1
Automatically generating medical reports for retinal images is one of the promising ways to help ophthalmologists reduce their workload and improve work efficiency. In this work, w…
Contextualized Keyword Representations for Multi-modal Retinal Image Captioning
Jia-Hong Huang, Ting-Wei Wu, Marcel Worring
Medical image captioning automatically generates a medical description to describe the content of a given medical image. A traditional medical image captioning model creates a medi…
DeepOpht: Medical Report Generation for Retinal Images via Deep Models and Visual Explanation
Jia-Hong Huang, Chao-Han Huck Yang, Fangyu Liu +9
In this work, we propose an AI-based method that intends to improve the conventional retinal disease treatment procedure and help ophthalmologists increase diagnosis efficiency and…