Manual anlysis of wound biopsy images is a significant research bottleneck. Analysis of wound biopsy images using automated computational methods which identifies major and minor histological structures of injured skin. Additionally, it helps to overcome the bottleneck of analysing wound biopsy images. The data demonstrates good performance of automatic identification of major and some minor structures within the wound biopsy. Our work has the potential to produce a first-in-class tool to significantly augment wound biopsy image analysis.
Date made available9 Aug 2022
PublisherUniversity of Manchester Figshare


  • tissue regeneration
  • deep learning
  • segmentation
  • Wound healing
  • artificial intelligence
  • computer vision

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