Deep Learning Method to Predict Wound Healing Progress Based on Collagen Fibers in Wound Tissue

arXiv:2405.05297v1 Announce Type: new
Abstract: Wound healing is a complex process involving changes in collagen fibers. Accurate monitoring of these changes is crucial for assessing the progress of wound healing and has significant implications for guiding clinical treatment strategies and drug screening. However, traditional quantitative analysis methods focus on spatial characteristics such as collagen fiber alignment and variance, lacking threshold standards to differentiate between different stages of wound healing. To address this issue, we propose an innovative approach based on …

abstract arxiv clinical cs.cv deep learning however monitoring process progress quantitative screening strategies treatment type