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Brain Tumor Classification

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TitleStatusHype
Proportional Sensitivity in Generative Adversarial Network (GAN)-Augmented Brain Tumor Classification Using Convolutional Neural Network—0
Transfer Learning and Explainable AI for Brain Tumor Classification: A Study Using MRI Data from Bangladesh—0
MediAug: Exploring Visual Augmentation in Medical ImagingCode0
Fibonacci-Net: A Lightweight CNN model for Automatic Brain Tumor Classification—0
Efficient Brain Tumor Classification with Lightweight CNN Architecture: A Novel Approach—0
Transfer Learning Strategies for Pathological Foundation Models: A Systematic Evaluation in Brain Tumor Classification—0
Enhancing Transfer Learning for Medical Image Classification with SMOTE: A Comparative Study—0
SKIPNet: Spatial Attention Skip Connections for Enhanced Brain Tumor Classification—0
An Ensemble Approach for Brain Tumor Segmentation and Synthesis—0
Comparative Analysis of Resource-Efficient CNN Architectures for Brain Tumor Classification—0
Residual Vision Transformer (ResViT) Based Self-Supervised Learning Model for Brain Tumor Classification—0
Edge-Enhanced Dilated Residual Attention Network for Multimodal Medical Image FusionCode1
Enhancing Brain Tumor Classification Using TrAdaBoost and Multi-Classifier Deep Learning Approaches—0
Advancing Efficient Brain Tumor Multi-Class Classification -- New Insights from the Vision Mamba Model in Transfer Learning—0
Enhanced MRI brain tumor detection and classification via topological data analysis and low-rank tensor decompositionCode1
Brain Tumor Classification on MRI in Light of Molecular Markers—0
FedBrain-Distill: Communication-Efficient Federated Brain Tumor Classification Using Ensemble Knowledge Distillation on Non-IID DataCode0
Pediatric brain tumor classification using digital histopathology and deep learning: evaluation of SOTA methods on a multi-center Swedish cohort—0
Deep Learning in Medical Image Classification from MRI-based Brain Tumor Images—0
Brain Tumor Classification From MRI Images Using Machine Learning—0
Deep Fusion Model for Brain Tumor Classification Using Fine-Grained Gradient Preservation—0
Brain Tumor Classification using Vision Transformer with Selective Cross-Attention Mechanism and Feature Calibration—0
MAProtoNet: A Multi-scale Attentive Interpretable Prototypical Part Network for 3D Magnetic Resonance Imaging Brain Tumor ClassificationCode0
A Deep Learning Approach for Brain Tumor Classification and Segmentation Using a Multiscale Convolutional Neural Network—0
Streamlining Brain Tumor Classification with Custom Transfer Learning in MRI Images—0
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