Automated Lymphedema Detection: A Multi-Observer Deep-Learning Approach

Authors

Trevor J. Abts, Creighton UniversityFollow
Sam Mulder, The University of Texas MD Anderson Cancer CenterFollow
Saleh Ramezani, The University of Texas MD Anderson Cancer CenterFollow
Kareem Wahid, The University of Texas MD Anderson Cancer CenterFollow
Clifton David Fuller, The University of Texas MD Anderson Cancer CenterFollow

Files

DOI

https://doi.org/10.52519/00165

Program Affiliation

Radiation Oncology

Keywords

deep learning, head and neck cancer, lymphedema, radiation oncology, imaging

Recommended Citation

Abts, Trevor J.; Mulder, Sam; Ramezani, Saleh; Wahid, Kareem; and Fuller, Clifton David, "Automated Lymphedema Detection: A Multi-Observer Deep-Learning Approach" (2024). 2024 CATALYST Summer Training Program. 1.
doi:https://doi.org/10.52519/00165