ESFPNet: efficient deep learning architecture for real-time lesion segmentation in autofluorescence bronchoscopic video

Qi Chang, Danish Ahmad, Jennifer Toth, Rebecca Bascom, William E. Higgins. ESFPNet: efficient deep learning architecture for real-time lesion segmentation in autofluorescence bronchoscopic video. In Barjor S. Gimi, Andrzej Król, editors, Medical Imaging 2023: Biomedical Applications in Molecular, Structural, and Functional Imaging, San Diego, CA, USA, February 19-23, 2023. Volume 12468 of SPIE Proceedings, SPIE, 2023. [doi]

@inproceedings{ChangATBH23,
  title = {ESFPNet: efficient deep learning architecture for real-time lesion segmentation in autofluorescence bronchoscopic video},
  author = {Qi Chang and Danish Ahmad and Jennifer Toth and Rebecca Bascom and William E. Higgins},
  year = {2023},
  doi = {10.1117/12.2647897},
  url = {https://doi.org/10.1117/12.2647897},
  researchr = {https://researchr.org/publication/ChangATBH23},
  cites = {0},
  citedby = {0},
  booktitle = {Medical Imaging 2023: Biomedical Applications in Molecular, Structural, and Functional Imaging, San Diego, CA, USA, February 19-23, 2023},
  editor = {Barjor S. Gimi and Andrzej Król},
  volume = {12468},
  series = {SPIE Proceedings},
  publisher = {SPIE},
  isbn = {9781510660427},
}