Super-resolution and Focus Recovery in Whole Slide Images using CycleGAN

Huimin Zhuge; Kimberly Ashman; Brian Summa; J. Quincy Brown

doi:10.1364/MICROSCOPY.2022.MW4A.4

Biophotonics Congress: Biomedical Optics 2022 (Translational, Microscopy, OCT, OTS, BRAIN)
Technical Digest Series (Optica Publishing Group, 2022),
paper MW4A.4
•https://doi.org/10.1364/MICROSCOPY.2022.MW4A.4

Super-resolution and Focus Recovery in Whole Slide Images using CycleGAN

Huimin Zhuge, Kimberly Ashman, Brian Summa, and J. Quincy Brown

Microscopy Histopathology and Analytics 2022

Fort Lauderdale, Florida United States
24–27 April 2022
ISBN: 978-1-957171-03-6

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Novel Histopathology II (MW4A)

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H. Zhuge, K. Ashman, B. Summa, and J. Q. Brown, "Super-resolution and Focus Recovery in Whole Slide Images using CycleGAN," in Biophotonics Congress: Biomedical Optics 2022 (Translational, Microscopy, OCT, OTS, BRAIN), Technical Digest Series (Optica Publishing Group, 2022), paper MW4A.4.

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Abstract

The unsupervised Cycle conditional generative adversarial networks (Cycle GAN) was modified to achieve high-resolution outputs from low-resolution inputs, and dynamic focus detection and recovery, in large-scale whole slide images (WSI).

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