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@Visio-Dermis

Visio-Dermis

VisioDermis 🩺📱

AI-Powered Mobile Application for Skin Cancer Detection

Overview

VisioDermis is a mobile application designed to assist in the early detection of skin cancer through artificial intelligence–based skin lesion analysis. By leveraging computer vision and deep learning techniques, VisioDermis enables users to scan skin lesions using a smartphone camera and receive an instant classification result indicating whether the lesion is potentially cancerous or benign.

The application aims to support early awareness, risk assessment, and preventive dermatological care, especially in regions with limited access to dermatology specialists.


Key Features

  • 📷 AI Skin Scan – Capture or upload images of skin lesions directly from a mobile device.
  • 🧠 Deep Learning Classification Model – Uses a trained convolutional neural network (CNN) to analyze lesion patterns.
  • 🩸 7-Class Skin Cancer Classification – Predicts one of the following categories:
    1. Melanoma
    2. Basal Cell Carcinoma
    3. Squamous Cell Carcinoma
    4. Actinic Keratosis
    5. Benign Keratosis
    6. Dermatofibroma
    7. Melanocytic Nevus
  • Real-Time Prediction – Fast inference optimized for mobile usage.
  • 📊 Probability & Confidence Output – Displays prediction confidence to enhance transparency

Technology Stack

  • Mobile Platform: Android / iOS
  • AI Model: Deep Learning (CNN)
  • Image Processing: Computer Vision techniques
  • Backend : REST API for model inference
  • Dataset: Dermatological image datasets for supervised learning

Use Case

VisioDermis is intended as a decision-support tool, not a medical diagnosis system. It helps users:

  • Monitor suspicious skin changes
  • Increase awareness of skin cancer risks
  • Decide when to seek professional medical evaluation

Disclaimer

⚠️ VisioDermis does not replace professional medical diagnosis.
The predictions provided by the application are for informational and educational purposes only. Users should always consult a qualified dermatologist for accurate diagnosis and treatment.

Popular repositories Loading

  1. .github .github Public

  2. DermaVision-ML DermaVision-ML Public

    Developed deep learning models ResNet50 for early skin cancer detection using the HAM10000 dataset and Normal dataset. Implemented data preprocessing, augmentation, and transfer learning to enhance…

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