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What is Automated Wound Area Estimation Techniques about?

Accurate wound area estimation is essential for effective dermatological assessment and treatment monitoring. However, manual measurement is time-consuming and error-prone, highlighting the need for automated, reliable methods. This paper aims to develop and evaluate two complementary techniques for estimating the Region of Interest (ROI) in dermatological images: a novel deep learning approach using the Segment Anything Model (SAM) and a simple pixel-based thresholding method. SAM segments both

Author

ijaia

Language

EN