Single patch super-resolution of histopathology whole slide images: a comparative study.

Mehdi AfshariSaba YasirGary L KeeneyRaphael E JimenezJoaquin J GarciaHamid R Tizhoosh

Published in: Journal of medical imaging (Bellingham, Wash.) (2023)

Pixel-level information, including structures and textures in histopathology images, are learnable by deep networks; hence improving the resolution quantity of scanned slides is possible by training appropriate networks. Different SR networks may perform best for various cancer sites and subtypes.

Keyphrases

deep learning
convolutional neural network
optical coherence tomography
papillary thyroid
high resolution
single molecule
machine learning
mass spectrometry
virtual reality
young adults