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Found 6 papers, 2 papers with code
Inspecting state of the art performance and NLP metrics in image-based medical report generation
Several deep learning architectures have been proposed over the last years to deal with the problem of generating a written report given an imaging exam as input.
A Survey on Deep Learning and Explainability for Automatic Report Generation from Medical Images
Every year physicians face an increasing demand of image-based diagnosis from patients, a problem that can be addressed with recent artificial intelligence methods.
CuratorNet: Visually-aware Recommendation of Art Images
Although there are several visually-aware recommendation models in domains like fashion or even movies, the art domain lacks thesame level of research attention, despite the recent growth of the online artwork market.
Do Better ImageNet Models Transfer Better... for Image Recommendation?
Our results indicate that models with better performance in the ImageNet challenge do not always imply better transfer learning for recommendation tasks (e. g. NASNet vs. ResNet).
Comparing Neural and Attractiveness-based Visual Features for Artwork Recommendation
Advances in image processing and computer vision in the latest years have brought about the use of visual features in artwork recommendation.
Exploring Content-based Artwork Recommendation with Metadata and Visual Features
Compared to other areas, artwork recommendation has received little attention, despite the continuous growth of the artwork market.
