Cargando…
MSHF: A Multi-Source Heterogeneous Fundus (MSHF) Dataset for Image Quality Assessment
Image quality assessment (IQA) is significant for current techniques of image-based computer-aided diagnosis, and fundus imaging is the chief modality for screening and diagnosing ophthalmic diseases. However, most of the existing IQA datasets are single-center datasets, disregarding the type of ima...
Autores principales: | Jin, Kai, Gao, Zhiyuan, Jiang, Xiaoyu, Wang, Yaqi, Ma, Xiaoyu, Li, Yunxiang, Ye, Juan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10192420/ https://www.ncbi.nlm.nih.gov/pubmed/37198230 http://dx.doi.org/10.1038/s41597-023-02188-x |
Ejemplares similares
-
FIVES: A Fundus Image Dataset for Artificial Intelligence based Vessel Segmentation
por: Jin, Kai, et al.
Publicado: (2022) -
GRAPE: A multi-modal dataset of longitudinal follow-up visual field and fundus images for glaucoma management
por: Huang, Xiaoling, et al.
Publicado: (2023) -
PAPILA: Dataset with fundus images and clinical data of both eyes of the same patient for glaucoma assessment
por: Kovalyk, Oleksandr, et al.
Publicado: (2022) -
Children’s dental panoramic radiographs dataset for caries segmentation and dental disease detection
por: Zhang, Yifan, et al.
Publicado: (2023) -
Optical emissivity dataset of multi-material heterogeneous designs generated with automated figure extraction
por: Baibakova, Viktoriia, et al.
Publicado: (2022)