Multi-Modality Microscopy Image Style Augmentation for Nuclei Segmentation
Annotating microscopy images for nuclei segmentation by medical experts is laborious and time-consuming. To leverage the few existing annotations, also across multiple modalities, we propose a novel microscopy-style augmentation technique based on a generative adversarial network (GAN). Unlike other...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-03-01
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Series: | Journal of Imaging |
Subjects: | |
Online Access: | https://www.mdpi.com/2313-433X/8/3/71 |