Awesome
WSNET
Wound Image Segmentation
WSNet: Towards An Effective Method for Wound Image Segmentation, WACV-2023
- Wound Segmentation dataset statistics:
- 2686 wound images
- 2686 masks correspodning to wound images
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}
}