A contrastive learning framework with adaptive feature fusion for brain tumor classification. [PDF]
Peng Y, He S, Chang L.
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LHW-Net: An ensemble-based machine learning framework for brain tumor classification. [PDF]
Suryadevara T, Mahamkali N, Rafi M.
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Advances in Brain Tumor Biomarkers: From Molecular Profiling to Liquid Biopsy and AI-Driven Detection. [PDF]
Nguyen TTT +3 more
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Illness Perception and Psychosocial Adjustment in Brain Tumor Patients and Their Family Caregivers: An Actor-Partner Interdependence Model Analysis. [PDF]
Huang T +5 more
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Brain Tumor Classification in MRI Images Using Combined Transfer Learning and Convolutional Neural Networks. [PDF]
Abbas M, Hassan M, Wang RZ, Teng CH.
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Enhanced ResU-Net for brain tumor segmentation using EfficientNetB0, channel attention, and ASPP. [PDF]
Behzadpour M, Azizi E, Ortiz BL, Wu K.
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Knowledge-guided brain tumor segmentation via synchronized visual-semantic-topological prior fusion. [PDF]
Zhang MD, Pan KW.
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MRI-based brain tumor prediction using convolutional neural network framework. [PDF]
Reddy YA +3 more
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A novel hybrid framework integrating GA-driven 3D ResUNetGAN for MRI brain tumor segmentation. [PDF]
Kirubakaran M, Mohan J.
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DGFI-Net: dual-branch guided feature interaction network for brain tumor segmentation. [PDF]
Zhao L, Jiang X, Zhang Q.
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