Deep Residual Learning · Dermatology

Skin Lesion Classification

Upload a dermoscopic image — the ResNet-50 model returns a probability distribution across all 7 ISIC diagnostic categories in seconds.

🔬 Image Input

DERMOSCOPY · RGB

🩺

Tap to select dermoscopic image
JPG · PNG · TIFF supported

Cloud engine initializing — est. 30s on first load

⚠️

Research Use Only. This tool uses deep learning to analyze dermoscopic images. It is not a medical diagnostic device and cannot replace a qualified dermatologist. Always consult a physician.

🧬 Classification Output

AWAITING INPUT

🔭

System idling — awaiting image input

—

Confidence

● Benign

—

// Clinical Description

—

Probability Distribution · All Classes

Primary Prediction

—

Confidence Score

—

Risk Category

—

Model Architecture

ResNet-50

ISIC Diagnostic Categories · HAM10000 Dataset

MEL

Melanoma

BCC

Basal Cell Carcinoma

AKIEC

Actinic Keratoses

BKL

Benign Keratosis

Melanocytic Nevi

Dermatofibroma

VASC

Vascular Lesions