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Text- and Content-Based Medical Image Retrieval in the VISCERAL Retrieval Benchmark
[chapter]
2017
Cloud-Based Benchmarking of Medical Image Analysis
Text-and content-based retrieval are the most widely used approaches for medical image retrieval. They capture the similarity between the images from different perspectives: text-based methods rely on manual textual annotations or captions associated with images; content-based approaches are based on the visual content of the images themselves such as colours and textures. Text-based retrieval can better meet the high-level expectations of humans but is limited by the timeconsuming annotations.
doi:10.1007/978-3-319-49644-3_14
fatcat:cuxegcpbvbdvff3jz3wtlpv7dy