Burn image segmentation based on Mask Regions with Convolutional Neural Network deep learning framework: more accurate and more convenient

Overview of attention for article published in Burns & Trauma, February 2019

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In the top 25% of all research outputs scored by Altmetric
Among the highest-scoring outputs from this source (#49 of 308)
Good Attention Score compared to outputs of the same age (76th percentile)
Average Attention Score compared to outputs of the same age and source

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dimensions_citation: 34 Dimensions

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So far, Dimensions has found 34 publications that cite this research output.

34

The most recent citing publications are shown below. View all 34 publications that cite this research output on Dimensions.

Review of machine learning for optical imaging of burn wound severity assessment

Article in Journal of Biomedical Optics (February 2024)

CADFU for Dermatologists: A Novel Chronic Wounds & Ulcers Diagnosis System with DHuNeT (Dual-Phase Hyperactive UNet) and YOLOv8 Algorithm

Article in Healthcare (October 2023)

Dense Mesh RCNN: assessment of human skin burn and burn depth severity

Article in The Journal of Supercomputing (October 2023)

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