数据集获取（Figshare）

• 源站标题：SNU dataset + Quiz
• DOI：10.6084/m9.figshare.6454973.v12
• 发布日期：2022-12-15
• 文件数：8 个
• 文件总体积：414.31 MB
• 源站页面：https://figshare.com/articles/dataset/SNU_SNU_MELANOMA_and_Reddit_dataset_Quiz/6454973

命令行下载

curl -L -o "SNU_thumbnail100.zip" "https://ndownloader.figshare.com/files/12183530"
curl -L -o "quiz.zip" "https://ndownloader.figshare.com/files/12349430"
curl -L -o "quiz2201.zip" "https://ndownloader.figshare.com/files/13570145"
curl -L -o "disease code_with_ICD10.xlsx" "https://ndownloader.figshare.com/files/13755338"
curl -L -o "SUPPLEMENTARY dataset.zip" "https://ndownloader.figshare.com/files/15025886"
curl -L -o "quiz_240_answer.txt" "https://ndownloader.figshare.com/files/23207351"
curl -L -o "readertest240.xlsx" "https://ndownloader.figshare.com/files/29145423"
curl -L -o "readertest_statistics.ods" "https://ndownloader.figshare.com/files/38558786"

文件清单

• SNU_thumbnail100.zip（8.88 MB）
• quiz.zip（393.24 MB）
• quiz2201.zip（10.21 MB）
• disease code_with_ICD10.xlsx（17.12 KB）
• SUPPLEMENTARY dataset.zip（1.86 MB）
• quiz_240_answer.txt（14.93 KB）
• readertest240.xlsx（12.22 KB）
• readertest_statistics.ods（69.43 KB）

文件总体积 414.31 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

1. SNU_thumbnail100.zip

SNU Dataset

2201 images; thumbnail

Red rectangle - diagnosed by biopsy

Black rectangle - diagnosed by clinical impression

2. quiz.zip

SNU Dataset; Quiz for AI and Dermatologist

240 images; SNU dataset

QUIZ.pdf

ANSWER.xlsx

doctor.xlsx

doctor_AI.xlsx

public.xlsx

public_AI.xlsx

The exact diagnosis is listed in QUIZ_240_answer.txt

3. quiz2201.zip

SNU Dataset; Quiz for AI and Dermatologist

2201 images; thumbnail (1.jpg ~ 36.jpg)

quiz2201.xlsx

quiz2201_AI.xlsx

answer.ods

4. disease code_with_ICD10

174 disease classes for the model training

5. SUPPLEMENTARY dataset

Validation dataset that used to draw Figure S1

151 images; thumbnail

Breslow thickness

Edinburgh dataset

Edinburgh dermofit image library is a commercial library.;

https://licensing.edinburgh-innovations.ed.ac.uk/i/software/dermofit-image-library.html

#2021.8.16

The reader test result (21 dermatologists and 23 laypersons) using the 240 images was added. - readertest240.xlsx

#2022.12.15

TP / TN / FP / FN of the reader test (21 dermatologists + 26 GP + 23 laypersons) was added - readertest_statistics.xlsx

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.6454973.v12（source: https://figshare.com/articles/dataset/SNU_SNU_MELANOMA_and_Reddit_dataset_Quiz/6454973）。