DermTrainer beta

DermTrainer

Practise identifying skin lesions from dermoscopic and clinical images. Sign in to track your progress.

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This tool is for educational purposes only and does not constitute medical advice.

DermTrainer beta
Quiz Dashboard Settings
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Dermatology Image Quiz

Practise identifying skin conditions from clinical photos and dermoscopic images. Choose how many questions you want per session.

5
Quick round
10
Standard
20
Extended

Clinical photos from the SCIN dataset and dermoscopic images from ISIC/HAM10000
Adjust diagnosis granularity and quiz format in Settings

Question 1 of 10 0 / 0 correct
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Quiz Settings
Diagnosis granularity
How specific should the diagnosis options be?
Question format
Choose how questions are presented
Prioritise weak areas
Show more questions on diagnoses you get wrong
Number of options
Multiple choice options per question
Image Filters
Image type
Dermoscopic (through dermatoscope) or clinical (naked eye). All selected = no filter.
Source dataset
Filter by the original dataset. All selected = no filter.
Data
Export data
Download your performance data as JSON
About

DermTrainer is an educational tool for practising dermatological image interpretation.

SCIN Dataset — Crowdsourced clinical dermatology photos from Google Research, contributed by real patients. Over 5,000 cases covering 44+ skin conditions, filtered by dermatologist consensus (confidence ≥0.3). Each case may include multiple views (close-up, overview, context). Dataset page

HAM10000 / ISIC Archive — Dermoscopic images from the International Skin Imaging Collaboration, confirmed by histopathology or expert consensus. Covers melanoma, BCC, SCC, naevi, and benign keratoses. ISIC Archive

Licensing — SCIN images are used under the SCIN Data Use License (permissive, educational use). ISIC/HAM10000 images are used under CC-BY-NC.

Disclaimer: This tool is for educational purposes only and does not constitute medical advice. Do not use it for clinical decision-making. Always consult a qualified healthcare professional for diagnosis and treatment.