SCC-NET: segmentation of clinical cancer image for head and neck squamous cell carcinoma
Our proposed SCC-Net architecture was able to successfully segment lesions from white light endoscopic images with promising accuracy, with a single model performing well in all upper aerodigestive tracts.
Authors
- Jun-Wei Hsieh (ORCID: https://orcid.org/0000-0003-4729-0730)
- Bor‐Hwang Kang (ORCID: https://orcid.org/0000-0003-3788-448X)
- Hsing‐Hao Su (ORCID: https://orcid.org/0000-0002-3905-8870)
- Lisa Hwang
- Guan‐Ting Shen (ORCID: https://orcid.org/0000-0001-5698-2136)
- Yaoh-Shiang Lin
- Chien‐Yu Huang (ORCID: https://orcid.org/0000-0003-4193-3176)
- Cheng-Che Tsai
Institutions
- Tri-Service General Hospital (TW)
- National Yang Ming Chiao Tung University (TW)
- Tajen University (TW)
- Min-Hwei College of Health Care Management (TW)
- Chia-Yi Christian Hospital (TW)
- Kaohsiung Veterans General Hospital (TW)
- Chiayi Chang Gung Memorial Hospital (TW)
Publication Details
- Journal
- Journal of Medical Imaging
- Published
- 2024-11-21
- DOI
- https://doi.org/10.1117/1.jmi.11.6.065501
- Primary Topic
- Head and Neck Cancer Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00