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Updated: Jun 15, 2026

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
Published on: November 30, 2022
[Classification of orbital tumors]
1Département de neurochirurgie, hôpital Central, CHU de Nancy, 29, avenue de Lattre-de-Tassigny, 54000 Nancy, France. t.civit@chu-nancy.fr
Abstract:
Knowledge of orbital tumor classification is essential because it is the basis of an optimal therapeutic strategy. These tumors comprise the sphenoorbital meningiomas, the optic nerve sheath meningiomas, the optic nerve gliomas, the schwannomas, the histiocytic tumors, the metastases, the lacrimal gland tumors, the mesenchymal tumors of the soft tissues, the primary orbital wall tumors, the tumors arising from the nasal and paranasal sinuses, the hematopoietic tumors, the vascular tumors, and the congenital tumors.
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