智能手机手持式眼底相机用于视神经头评估的临床验证数据集

数据集获取（Figshare）

• 源站标题：Clinical validation of a smartphone-based handheld fundus camera for the evaluation of optic nerve head
• DOI：10.6084/m9.figshare.19925838.v1
• 发布日期：2022-05-30
• 文件数：9 个
• 文件总体积：56.46 MB
• 源站页面：https://scielo.figshare.com/articles/dataset/Clinical_validation_of_a_smartphone-based_handheld_fundus_camera_for_the_evaluation_of_optic_nerve_head/19925838

命令行下载

curl -L -o "9f54725d8c1fb5e8fb89439d43af41af99eac6bd.tif" "https://ndownloader.figshare.com/files/35425599"
curl -L -o "f6148808638e29b88c499edfa2fdd896c794ec7f.png" "https://ndownloader.figshare.com/files/35425602"
curl -L -o "80e0426c0743c54eb60c2d28ce894c0addc82f88.jpg" "https://ndownloader.figshare.com/files/35425605"
curl -L -o "de9cd924e77e7e3ffe1b2b9ced2a08879b564b7c.tif" "https://ndownloader.figshare.com/files/35425608"
curl -L -o "322cbac30cc7b84e32893fec2cc1a87581478446.png" "https://ndownloader.figshare.com/files/35425611"
curl -L -o "a069c84529f5ff3f2bd5f5af59570f89520b2d00.jpg" "https://ndownloader.figshare.com/files/35425614"
curl -L -o "c8c73dba9999f253451f8466080f5f7eb47f75a3.tif" "https://ndownloader.figshare.com/files/35425617"
curl -L -o "3f9d11c6330a1c910ffca564d3e518bae1f137f6.png" "https://ndownloader.figshare.com/files/35425620"

文件清单

• 9f54725d8c1fb5e8fb89439d43af41af99eac6bd.tif（27.13 MB）
• f6148808638e29b88c499edfa2fdd896c794ec7f.png（1.37 MB）
• 80e0426c0743c54eb60c2d28ce894c0addc82f88.jpg（3.31 KB）
• de9cd924e77e7e3ffe1b2b9ced2a08879b564b7c.tif（8.99 MB）
• 322cbac30cc7b84e32893fec2cc1a87581478446.png（480.08 KB）
• a069c84529f5ff3f2bd5f5af59570f89520b2d00.jpg（6.09 KB）
• c8c73dba9999f253451f8466080f5f7eb47f75a3.tif（17.56 MB）
• 3f9d11c6330a1c910ffca564d3e518bae1f137f6.png（921.84 KB）
• bd97cdb38ca1b3504b963af88dde349b4947200b.jpg（4.09 KB）

文件总体积 56.46 MB（源站 API 实测）。

数据加载示例（图像类）

from PIL import Image
import glob, os

files = (glob.glob(os.path.join(path, "**", "*.png"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.jpg"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.tif"), recursive=True))
print("图像文件数:", len(files))
img = Image.open(files[0]); print("尺寸/模式:", img.size, img.mode)

# torchvision Dataset 方式:
# from torchvision import datasets
# ds = datasets.ImageFolder(path)  # 要求 子目录=类别

目录组织与标注格式以源站说明和下载后实际文件为准。

数据说明

ABSTRACT Purpose: To compare the quality of retinal images captured with a smartphone-based, handheld fundus camera with that of retinal images captured with a commercial fundus camera and to analyze their agreement in determining the cup-to-disc ratio for a cohort of ophthalmological patients. Methods: A total of 50 patients from a secondary ophthalmic outpatient service center underwent a bilateral fundus examination under mydriasis with a smartphone-based, handheld fundus camera and with a commercial fundus camera (4 images/patient by each). Two experienced ophthalmologists evaluated all the fundus images and graded them on the Likert 1-5 scale for quality. Multivariate regression analyses was then performed to evaluate the factors associated with the image quality. Two masked ophthalmologists determined the vertical cup-to-disc ratio of each fundus image, and both the intraobserver (between devices) and interobserver agreement between them was calculated. Results: Ninety-eight images from 49 patients were processed in this study for their quality analysis. Ten images from five patients (four from commercial fundus camera and one from smartphone-based, handheld fundus camera) were not included in the analyses due to their extremely poor quality. The medians [interquartile interval] of the image quality were not significantly different between those from the smartphone-based, handheld fundus camera and from the commercial fundus camera (4 [4-5] versus 4 [3-4] respectively, p=0.06); however, both the images captured with the commercial fundus camera and the presence of media opacity presented a significant negative correlation with the image quality. Both the intraobserver [intraclass correlation coefficient (ICC)=0.82, p<0.001 and 0.83, p<0.001, for examiners 1 and 2, respectively] and interobserver (ICC=0.70, p=0.001 and 0.81; p<0.001, for smartphone-based handheld fundus camera and commercial fundus camera, respectively) agreements were excellent and statistically significant. Conclusions: Our results thus indicate that the smartphone-based, handheld fundus camera yields an image quality similar to that from a commercial fundus camera, with significant a

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.19925838.v1（source: https://scielo.figshare.com/articles/dataset/Clinical_validation_of_a_smartphone-based_handheld_fundus_camera_for_the_evaluation_of_optic_nerve_head/19925838）。