剖宫产新生儿眼睑和泪小管撕裂伤数据集

数据集获取（Figshare）

• 源站标题：Neonatal eyelid and canalicular laceration in cesarean delivery
• DOI：10.6084/m9.figshare.8127878.v1
• 发布日期：2019-05-15
• 文件数：3 个
• 文件总体积：189.86 KB
• 源站页面：https://scielo.figshare.com/articles/dataset/Neonatal_eyelid_and_canalicular_laceration_in_cesarean_delivery/8127878

命令行下载

curl -L -o "0034-7280-rbof-78-02-0130-gf01-en.jpg" "https://ndownloader.figshare.com/files/15150647"
curl -L -o "0034-7280-rbof-78-02-0130-gf02-en.jpg" "https://ndownloader.figshare.com/files/15150650"
curl -L -o "0034-7280-rbof-78-02-0130-gf03-en.jpg" "https://ndownloader.figshare.com/files/15150653"

文件清单

• 0034-7280-rbof-78-02-0130-gf01-en.jpg（68.49 KB）
• 0034-7280-rbof-78-02-0130-gf02-en.jpg（57.98 KB）
• 0034-7280-rbof-78-02-0130-gf03-en.jpg（63.38 KB）

文件总体积 189.86 KB（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 In modern medicine, neonatal traumatic injuries during childbirth are rare. More rarely are those during a cesarean birth. That is the first reported case of palpebral laceration and neonatal canicular cesarean section. We describe the joint work of early diagnosis by the pediatric team and the prompt ophthalmologic surgical intervention in a well-conducted case of right palpebral and canalicular laceration. The infant presents without permanent functional impairment during postoperative follow-up.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.8127878.v1（source: https://scielo.figshare.com/articles/dataset/Neonatal_eyelid_and_canalicular_laceration_in_cesarean_delivery/8127878）。