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

Authors

• Trevor AbtsFollow
• 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

Recommended Citation

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

Keywords

Deep learning; Head and Neck Cancer; Lymphedema; Radiation Oncology; Imaging