Cargando…
Semi-MsST-GAN: A Semi-Supervised Segmentation Method for Corneal Ulcer Segmentation in Slit-Lamp Images
Corneal ulcer is a common leading cause of corneal blindness. It is difficult to accurately segment corneal ulcers due to the following problems: large differences in the pathological shapes between point-flaky and flaky corneal ulcers, blurred boundary, noise interference, and the lack of sufficien...
Autores principales: | Wang, Tingting, Wang, Meng, Zhu, Weifang, Wang, Lianyu, Chen, Zhongyue, Peng, Yuanyuan, Shi, Fei, Zhou, Yi, Yao, Chenpu, Chen, Xinjian |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8764146/ https://www.ncbi.nlm.nih.gov/pubmed/35058743 http://dx.doi.org/10.3389/fnins.2021.793377 |
Ejemplares similares
-
DW-Net: Dynamic Multi-Hierarchical Weighting Segmentation Network for Joint Segmentation of Retina Layers With Choroid Neovascularization
por: Wang, Lianyu, et al.
Publicado: (2021) -
U-shaped GAN for Semi-Supervised Learning and Unsupervised Domain Adaptation in High Resolution Chest Radiograph Segmentation
por: Wang, Hongyu, et al.
Publicado: (2022) -
A deep learning-based model for automatic segmentation and evaluation of corneal neovascularization using slit-lamp anterior segment images
por: Chu, Xiaoran, et al.
Publicado: (2023) -
Revisiting Consistency for Semi-Supervised Semantic Segmentation †
por: Grubišić, Ivan, et al.
Publicado: (2023) -
MF-Net: Multi-Scale Information Fusion Network for CNV Segmentation in Retinal OCT Images
por: Meng, Qingquan, et al.
Publicado: (2021)