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. ๐ฑ๐ท 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. ๐ฉบ๐
Dataset: Introduces a chronic wounds dataset from leprosy patients, enhancing research opportunities. ๐๐ฌ
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. ๐โค๏ธ