Cargando…
Retinal Vessel Automatic Segmentation Using SegNet
Extracting retinal vessels accurately is very important for diagnosing some diseases such as diabetes retinopathy, hypertension, and cardiovascular. Clinically, experienced ophthalmologists diagnose these diseases through segmenting retinal vessels manually and analysing its structural feature, such...
Autores principales: | Xu, Xiaomei, Wang, Yixin, Liang, Yu, Luo, Siyuan, Wang, Jianqing, Jiang, Weiwei, Lai, Xiaobo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8976667/ https://www.ncbi.nlm.nih.gov/pubmed/35378728 http://dx.doi.org/10.1155/2022/3117455 |
Ejemplares similares
-
Retracted: Retinal Vessel Automatic Segmentation Using SegNet
por: Methods in Medicine, Computational and Mathematical
Publicado: (2023) -
SM-SegNet: A Lightweight Squeeze M-SegNet for Tissue Segmentation in Brain MRI Scans
por: Yamanakkanavar, Nagaraj, et al.
Publicado: (2022) -
Liver Tumor Segmentation in CT Scans Using Modified SegNet
por: Almotairi, Sultan, et al.
Publicado: (2020) -
Brain SegNet: 3D local refinement network for brain lesion segmentation
por: Hu, Xiaojun, et al.
Publicado: (2020) -
VGG-UNet/VGG-SegNet Supported Automatic Segmentation of Endoplasmic Reticulum Network in Fluorescence Microscopy Images
por: Daniel, Jesline, et al.
Publicado: (2022)