Biopsy-free in vivo virtual histology of skin using deep learning
2 institutional releases
Published in Light Science & Applications · View the paper (DOI)
A new deep learning-powered approach transforms RCM images into virtually-stained H&E images, enabling the analysis of microscopic skin features without invasive biopsies. This technique, called virtual histology, can diagnose various skin conditions, including basal cell carcinoma and melanocytic nevi.
Coverage from 2 institutions
- Deep learning can eliminate skin biopsies by creating virtual histology of intact tissue Light Publishing Center, Changchun Institute of Optics, Fine Mechanics And Physics, CAS · Nov 18, 2021 · first to report
- New imaging technology developed by UCLA research team may reduce need for skin biopsies University of California - Los Angeles Health Sciences · Nov 18, 2021