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Found 4 papers, 3 papers with code
A deep learning framework for morphologic detail beyond the diffraction limit in infrared spectroscopic imaging
Infrared (IR) microscopes measure spectral information that quantifies molecular content to assign the identity of biomedical cells but lack the spatial quality of optical microscopy to appreciate morphologic features.
A generative adversarial approach to facilitate archival-quality histopathologic diagnoses from frozen tissue sections
The nearly instantaneously generated virtual FFPE images can not only reduce time to information but can facilitate more precise diagnosis from routine FF images without extraneous costs and effort.
Deepfake histological images for enhancing digital pathology
Here, we present an approach to not only generate histological images that reproduce the diagnostic morphologic features of common disease but also provide a user ability to generate new and rare morphologies.
Domain adaptation using optimal transport for invariant learning using histopathology datasets
Histopathology is critical for the diagnosis of many diseases, including cancer.
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