Deep learning based identification of pituitary adenoma on surgical endoscopic images: a pilot study
Author:
Publisher
Springer Science and Business Media LLC
Subject
Neurology (clinical),General Medicine,Surgery
Link
https://link.springer.com/content/pdf/10.1007/s10143-023-02196-w.pdf
Reference41 articles.
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2. Aghi MK, Chen CC, Fleseriu M et al (2016) Congress of Neurological Surgeons Systematic Review and evidence-based guidelines on the management of patients with nonfunctioning pituitary adenomas: executive summary. Neurosurgery 79:521–523. https://doi.org/10.1227/NEU.0000000000001386
3. Honegger J, Grimm F (2018) The experience with transsphenoidal surgery and its importance to outcomes. Pituitary 21:545–555. https://doi.org/10.1007/s11102-018-0904-4
4. Behbahaninia M, Martirosyan NL, Georges J et al (2013) Intraoperative fluorescent imaging of intracranial tumors: a review. Clin Neurol Neurosurg 115:517–528. https://doi.org/10.1016/J.CLINEURO.2013.02.019
5. Deng J, Dong W, Socher R, Li LJ, Li K, Fei-Fei L (2009) ImageNet: a large-scale hierarchical image database. 2009 IEEE Conference on Computer Vision and Pattern Recognition, pp 248–255. https://doi.org/10.1109/CVPR.2009.5206848
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