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WSNET

Wound Image Segmentation

WSNet: Towards An Effective Method for Wound Image Segmentation, WACV-2023

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Wseg_dataset

  • Wound Segmentation dataset statistics:
  • 2686 wound images
  • 2686 masks correspodning to wound images

Slides

slides

For Citation of our work

@InProceedings{Oota_2023_WACV,
    author    = {Oota, Subba Reddy and Rowtula, Vijay and Mohammed, Shahid and Liu, Minghsun and Gupta, Manish},
    title     = {WSNet: Towards an Effective Method for Wound Image Segmentation},
    booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
    month     = {January},
    year      = {2023},
    pages     = {3234-3243}
}
@InProceedings{Oota_2021_WACV,
    author    = {Oota, Subba Reddy and Rowtula, Vijay and Mohammed, Shahid and Galitz, Jeffrey and Liu, Minghsun and Gupta, Manish},
    title     = {HealTech - A System for Predicting Patient Hospitalization Risk and Wound Progression in Old Patients},
    booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
    month     = {January},
    year      = {2021},
    pages     = {2463-2472}
}

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