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>