Image-based detection of the internal carotid arteries and sella turcica in endoscopic endonasal transsphenoidal surgery
Complex anatomical landmarks should be recognized during EETS. The computer vision model was effective in detecting the sella turcica and ICA bilaterally, as well as in identifying and avoiding fatal complications. For the model to generalize with reliability, it requires novel, unseen data from various settings to refine it and facilitate transfer learning.
Authors
- Chin Taweesomboonyat (ORCID: https://orcid.org/0000-0002-6842-1077)
- Thara Tunthanathip (ORCID: https://orcid.org/0000-0002-6303-836X)
- Nuttha Sanghan (ORCID: https://orcid.org/0000-0002-3814-4988)
- Rakkrit Duangsoithong (ORCID: https://orcid.org/0000-0002-1307-6405)
- Thakul Oearsakul (ORCID: https://orcid.org/0000-0003-3228-3431)
Institutions
- Prince of Songkla University (TH)
Publication Details
- Journal
- Neurosurgical FOCUS
- Published
- 2025-07-01
- DOI
- https://doi.org/10.3171/2025.4.focus24940
- Citations
- 5
- Primary Topic
- Pituitary Gland Disorders and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 6.47