Plant Root Phenotyping Using Deep Conditional GANs and Binary Semantic Segmentation

This paper develops an approach to perform binary semantic segmentation on Arabidopsis thaliana root images for plant root phenotyping using a conditional generative adversarial network (cGAN) to address pixel-wise class imbalance. Specifically, we use Pix2PixHD, an image-to-image translation cGAN,...

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Detalles Bibliográficos
Autores principales: Thesma, Vaishnavi, Mohammadpour Velni, Javad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9823511/
https://www.ncbi.nlm.nih.gov/pubmed/36616905
http://dx.doi.org/10.3390/s23010309

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9823511/
https://www.ncbi.nlm.nih.gov/pubmed/36616905
http://dx.doi.org/10.3390/s23010309

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