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1 article for “Segnet”

• Published Subscription Review Article 8 Feb 2025

  CNN-Based Wound Segmentation: A Review of Models and Performance Evaluation

  By Saumitra Gurav, Crysline Correa, Soham Mokashi, Larissa Martis, Joshua Michael

  Abstract: Deep learning, particularly convolutional neural networks (CNNs), has altered medical image processing by automating and precisely segmenting complex medical pictures. Wound segmentation, a critical application in automated wound assessment, is essential for wound size estimation, classification, and healing progress monitoring. This study presents a comprehensive review of CNN-based wound segmentation models, focusing on their architectures, methodologies, and performance on diverse datasets. Four deep learning models, including two U-Net variants (5-layer …

  Published in Current Trends in Signal Processing · Vol. 15, Issue 1, 2025 · pp. 33–46 Read article →