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. ๐Ÿ“ฑ๐Ÿ“ท 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. ๐Ÿฉบ๐Ÿ”
  • Dataset: Introduces a chronic wounds dataset from leprosy patients, enhancing research opportunities. ๐Ÿ“š๐Ÿ”ฌ

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. ๐ŸŒโค๏ธ

๐Ÿ“Œ Automated Chronic Wounds Medical Assessment and Tracking Framework Based on Deep Learning: Brayan Monroy, Karen Sanchez, Paula Arguello, Juan Estupiรฑan, Jorge Bacca,Claudia v. Correa, Laura Valencia, Juan C. Castillo, Olinto Mieles, Henry Arguello,Sergio Castillo, Fernando Rojas-Morales