SIMATEC

SIMATEC

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Chronic wounds pose a global health challenge, especially for patients in rural areas with limited medical access. SIMATEC introduces an innovative deep learning framework for chronic wound tracking using RGB images captured via smartphones. 📱📷 By eliminating the need for complex equipment, it provides an accessible solution for both patients and healthcare providers.

Key Features:

  • Smartphone-Based Imaging: Utilizes widely available smartphone cameras for wound monitoring.
  • Advanced Image Processing: Incorporates cutting-edge algorithms for wound detection, segmentation, and quantitative analysis. 🩺🔍
  • Dataset: Introduces a chronic wounds dataset from leprosy patients, enhancing research opportunities. 📚🔬

Impact:

This project aims to bridge the healthcare gap for rural populations by providing them with reliable, efficient, and accessible medical care, thereby promoting universal health coverage. 🌍❤️

📌 Automated Chronic Wounds Medical Assessment and Tracking Framework Based on Deep Learning: Brayan Monroy, Karen Sanchez, Paula Arguello, Juan Estupiñan, Jorge Bacca,Claudia v. Correa, Laura Valencia, Juan C. Castillo, Olinto Mieles, Henry Arguello,Sergio Castillo, Fernando Rojas-Morales