What is Wound Segmentation?
Wound segmentation is the process of identifying and isolating the wound area from an image, typically in medical images such as photographs of wounds or injuries. This technique is useful for monitoring wound healing, assessing the severity of injuries, and providing medical professionals with accurate data for treatment planning.
Methods and Techniques
- Thresholding Segmentation: Differentiates wounds based on pixel intensity (lighter/darker areas).
- Deep Learning Algorithms: Neural networks like U-Net are widely used for highly accurate segmentation.
- Region Growing: Expands from a seed point, detecting similar areas in the wound.