Neuroimaging and machine learning fusion for improved brain tumor diagnosis and prognosis. [PDF]
Khan UA +4 more
europepmc +1 more source
Brain Tumor Classification and Segmentation in MR Images Using EfficientNet and U-Net++ Models. [PDF]
Alkharaan R +3 more
europepmc +1 more source
A Scoping Review of Exercise Oncology in the Primary Brain Tumor Patient-Caregiver Dyad. [PDF]
Vo AH +6 more
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Bridging Annotation Gaps: Hierarchical Self-Support Learning for Brain Tumor Segmentation. [PDF]
Qamar S, Fazil M, Ashraf Z.
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Psychosocial functioning and friendship quality among school-aged pediatric brain tumor survivors. [PDF]
Schruff M +7 more
europepmc +1 more source
BRISC: Annotated Dataset for Brain Tumor Segmentation and Classification. [PDF]
Fateh A +6 more
europepmc +1 more source
Quantification of Ki-67 labeling index in pediatric brain tumor immunohistochemistry images. [PDF]
Spyretos C +7 more
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Neurobehavioral outcomes and associated risk factors in pediatric brain tumor survivors. [PDF]
Wang Y +25 more
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3D brain tumor segmentation using an improved V-Net architecture and 3D attention gate. [PDF]
Esmaeilzadeh Asl S +2 more
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PruDensNet: a parameter efficient depthwise separable CNN for MRI-based brain tumor classification. [PDF]
Arman M +5 more
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