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- W2716280087 abstract "The conventional ‘keyboard and workstation’ approach allows complex medical image presentation and manipulation during mammographic interpretation. Nevertheless, providing rich interaction and feedback in real time for navigational training or computer assisted detection of disease remains a challenge. Through computer vision and state of the art AR (Augmented Reality) technique, this study proposes an ‘AR mammographic workstation’ approach which could support workstation-independent rich interaction and real-time feedback. This flexible AR approach explores the feasibility of facilitating various mammographic training scenes via AR as well as its limitations." @default.
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- W2716280087 date "2017-01-01" @default.
- W2716280087 modified "2023-09-24" @default.
- W2716280087 title "Rich Interaction and Feedback Supported Mammographic Training: A Trial of an Augmented Reality Approach" @default.
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- W2716280087 doi "https://doi.org/10.1007/978-3-319-60964-5_33" @default.
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