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Single-sample image-fusion upsampling of fluorescence lifetime images
Fluorescence lifetime imaging microscopy (FLIM) provides detailed information about molecular interactions and biological processes.
Synthetic Privileged Information Enhances Medical Image Representation Learning
Multimodal self-supervised representation learning has consistently proven to be a highly effective method in medical image analysis, offering strong task performance and producing biologically informed insights.
TriDeNT: Triple Deep Network Training for Privileged Knowledge Distillation in Histopathology
We present TriDeNT, a novel self-supervised method for utilising privileged data that is not available during inference to improve performance.
More From Less: Self-Supervised Knowledge Distillation for Routine Histopathology Data
Medical imaging technologies are generating increasingly large amounts of high-quality, information-dense data.
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