Enhancing Spinal Cord and Canal Segmentation in Degenerative Cervical Myelopathy : The Role of Interactive Learning Models with manual Click
We found that the interactive segmentation model significantly outperformed the auto-segmentation model. By incorporating simple manual inputs, the interactive model effectively identified regions of interest, particularly in the complex and irregular shapes of the spinal cord, demonstrating both enhanced accuracy and adaptability.
Authors
- Tae‐Joon Kim (ORCID: https://orcid.org/0000-0001-8451-6634)
- Jae Keun Oh (ORCID: https://orcid.org/0000-0001-5127-2661)
- Sung Bae Park (ORCID: https://orcid.org/0000-0002-4652-3056)
- Noah Hong
- Wonwoo Cho (ORCID: https://orcid.org/0000-0003-4547-734X)
- Soo-Chul Han
Institutions
- Seoul National University (KR)
- Korea Advanced Institute of Science and Technology (KR)
- Yonsei University (KR)
- SNUH SMG-SNU Boramae Medical Center (KR)
- Kangbuk Samsung Hospital (KR)
- New Testament Society of Korea (KR)
Publication Details
- Journal
- Journal of Korean Neurosurgical Society
- Published
- 2025-09-26
- DOI
- https://doi.org/10.3340/jkns.2025.0033
- Primary Topic
- Stroke Rehabilitation and Recovery
- Type
- article
- Field-Weighted Citation Impact
- 0.00