Machine learning-based classification of pineal germinoma from magnetic resonance imaging
Introduction: Surgical approaches for tissue diagnosis of pineal tumors have been associated with morbidity and mortality. The classification of images by machine learning (ML) may assist physicians in determining the extent of resection and treatment plans for a specific patient. Therefore, the pre...
Main Authors: | Suchada Supbumrung, Anukoon Kaewborisutsakul, Thara Tunthanathip |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2023-10-01
|
Series: | World Neurosurgery: X |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2590139723000807 |
Similar Items
-
Diagnosis and Management of Pineal Germinoma: From Eye to Brain
by: Cohen D, et al.
Published: (2023-04-01) -
Geometric Model for Human Body Orientation Classification
by: Igi Ardiyanto
Published: (2015-05-01) -
Pineal germinoma in a young adult: A case report
by: Lissett Jeanette Fernández‐Rodríguez, et al.
Published: (2022-09-01) -
A Pineal Germinoma with Rapid Enlargement following Tumor Resection
by: Chia-Jung Hsu, et al.
Published: (2023-12-01) -
Plasma miRNA expression profile in pediatric pineal pure germinomas
by: Mona Fakhry, et al.
Published: (2024-04-01)