SNU dataset + Quiz

<strong>1. SNU_thumbnail100.zip</strong> SNU Dataset 2201 images; thumbnail<br> Red rectangle - diagnosed by biopsy Black rectangle - diagnosed by clinical impression <br> <strong>2. quiz.zip</strong><br> SNU Dataset; Quiz for AI and Dermatologist 240 images; SNU dataset QUIZ.pdf ANSWER.xlsx<br> doctor.xlsx doctor_AI.xlsx public.xlsx public_AI.xlsx <br> The exact diagnosis is listed in QUIZ_240_answer.txt <br> <br> <strong>3. quiz2201.zip</strong> SNU Dataset; Quiz for AI and Dermatologist 2201 images; thumbnail (1.jpg ~ 36.jpg) quiz2201.xlsx quiz2201_AI.xlsx<br> answer.ods <br> <strong>4. disease code_with_ICD10</strong> 174 disease classes for the model training<br> <br> <strong>5. SUPPLEMENTARY dataset</strong> Validation dataset that used to draw Figure S1 151 images; thumbnail Breslow thickness <br> <br> <strong># Edinburgh dataset</strong> Edinburgh dermofit image library is a commercial library.; https://licensing.edinburgh-innovations.ed.ac.uk/i/software/dermofit-image-library.html<br> <br> #2021.8.16 The reader test result (21 dermatologists and 23 laypersons) using the 240 images was added. - <strong>readertest240.xlsx</strong> <br> #2022.12.15 TP / TN / FP / FN of the reader test (21 dermatologists + 26 GP + 23 laypersons) was added - <strong>readertest_statistics.xlsx</strong><strong>1. SNU_thumbnail100.zip</strong>：SNU数据集，包含2201张缩略图（thumbnail）；其中红色矩形框标注的样本经活检（biopsy）确诊，黑色矩形框标注的样本经临床印象确诊。<br><br><strong>2. quiz.zip</strong>：SNU数据集，用于AI与皮肤科医师测试，包含240张图像；附带文件包括SNU数据集测试说明文档QUIZ.pdf、答案文件ANSWER.xlsx，以及doctor.xlsx、doctor_AI.xlsx、public.xlsx、public_AI.xlsx；准确诊断结果详见QUIZ_240_answer.txt<br><br><strong>3. quiz2201.zip</strong>：SNU数据集，用于AI与皮肤科医师测试，包含2201张图像，缩略图范围为1.jpg ~ 36.jpg；附带文件包括quiz2201.xlsx、quiz2201_AI.xlsx及answer.ods<br><br><strong>4. disease code_with_ICD10</strong>：包含174个疾病类别，采用ICD-10（International Classification of Diseases 10th Revision，国际疾病分类第十次修订版）编码标准，用于模型训练<br><br><strong>5. SUPPLEMENTARY dataset</strong>：用于绘制补充图S1的验证集，包含151张图像并附带缩略图，标注有Breslow厚度（Breslow thickness，皮肤黑色素瘤侵袭深度指标）<br><br><strong># Edinburgh dataset</strong>：Edinburgh Dermofit图像库为商用图像库；授权链接：https://licensing.edinburgh-innovations.ed.ac.uk/i/software/dermofit-image-library.html<br><br><strong>#2021.8.16</strong>：新增基于240张图像的阅片测试结果，参与测试者包括21名皮肤科医师与23名普通民众，相关数据存储于<strong>readertest240.xlsx</strong><br><br><strong>#2022.12.15</strong>：新增该阅片测试的真阳性（True Positive, TP）、真阴性（True Negative, TN）、假阳性（False Positive, FP）与假阴性（False Negative, FN）统计结果，参与测试者包括21名皮肤科医师、26名全科医师（General Practitioner, GP）与23名普通民众，相关数据存储于<strong>readertest_statistics.xlsx</strong>