Enhancing Post-Surgical Wound Care in Anorectal Diseases: A Comparative Study of Advanced Convolutional Neural Network (CNN) Architectures for Image Classification and Analysis

The integration of machine learning technologies in the classification and analysis of wound images represents a significant advancement in medical image analysis and AI-driven healthcare solutions. This research not only enhances the technical capabilities of AI applications in healthcare but also improves the precision of post-operative care in anorectal surgery, ultimately contributing to better treatment outcomes.