Informed Learning of Spectral Super-Resolution for mHealth Applications
Author:
Affiliation:
1. Weldon School of Biomedical Engineering, Purdue University,West Lafayette,USA,IN 47906
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10431815/10431907/10432483.pdf?arnumber=10432483
Reference8 articles.
1. Spatiotemporal Assessments of Dermal Hyperemia Enable Accurate Prediction of Experimental Cutaneous Carcinogenesis as well as Chemopreventive Activity
2. Toward laboratory blood test-comparable photometric assessments for anemia in veterinary hematology
3. Nonspectroscopic imaging for quantitative chlorophyll sensing
4. Data-driven imaging of tissue inflammation using RGB-based hyperspectral reconstruction toward personal monitoring of dermatologic health
5. mHealth spectroscopy of blood hemoglobin with spectral super-resolution
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