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Digital Planimetry for Assessing Wound Closure Kinetics in a Mouse Model

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[An Improved Faster R-CNN Method for Wound Detection].

Sisi Zhang¹, Zhongxiang Shi¹, Feng Jiang¹

¹（ 250021）Ward Ⅰ, Department of Critical Care Medicine, Central Hospital District, Shandong First Medical University Affiliated Provincial Hospital, Jinan 250021, China.

Sichuan Da Xue Xue Bao. Yi Xue Ban = Journal of Sichuan University. Medical Science Edition

|June 29, 2026

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This study enhances Faster Region-based Convolutional Neural Network (Faster R-CNN) for wound detection (WD-IFRCNN) using attention mechanisms and improved post-processing. The WD-IFRCNN model significantly increases the accuracy and stability of detecting wounds in complex scenarios.

Area of Science:

Medical Imaging
Computer Vision
Artificial Intelligence

Keywords:

CBAM Faster R-CNN Fuzzy mask attention module Soft-NMS Wound detection

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