Envision Portal
Share data Find data About Trust & Safety Contact us
Sign in Sign up

OCTA image dataset with label annotation for quality assessment

Version 1
Description

This dataset is publish by the research " A Deep Learning-based Quality Assessment and Segmentation System with a Large-scale Benchmark Dataset for Optical Coherence Tomographic Angiography Image " Detail: OCTA image dataset with label annotation for quality assessment. sOCTA-3x3-10k: 10,480 3 × 3 mm 2 superficial vascular layer OCTA (sOCTA) images divided into three classes; sOCTA-6x6-14k: 14,042 6 × 6 mm 2 sOCTA images divided into three classes.  GitHub:  https://github.com/shanzha

Keywords
Conditions
License

No license available

This dataset is publish by the research " A Deep Learning-based Quality Assessment and Segmentation System with a Large-scale Benchmark Dataset for Optical Coherence Tomographic Angiography Image "

Detail:

OCTA image dataset with label annotation for quality assessment. sOCTA-3x3-10k: 10,480 3 × 3 mm 2 superficial vascular layer OCTA (sOCTA) images divided into three classes; sOCTA-6x6-14k: 14,042 6 × 6 mm 2 sOCTA images divided into three classes. 

GitHub:  https://github.com/shanzha