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Brain Tumor Classification

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Showing 1–50 of 52 papers

TitleStatusHype
LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph MatchingCode2
MProtoNet: A Case-Based Interpretable Model for Brain Tumor Classification with 3D Multi-parametric Magnetic Resonance ImagingCode1
Enhanced MRI brain tumor detection and classification via topological data analysis and low-rank tensor decompositionCode1
Edge-Enhanced Dilated Residual Attention Network for Multimodal Medical Image FusionCode1
Deep Multimodal Guidance for Medical Image ClassificationCode1
Optimizing Brain Tumor Classification: A Comprehensive Study on Transfer Learning and Imbalance Handling in Deep Learning ModelsCode0
HMM Model for Brain Tumor Detection and ClassificationCode0
Feature Imitating Networks Enhance The Performance, Reliability And Speed Of Deep Learning On Biomedical Image Processing TasksCode0
FedBrain-Distill: Communication-Efficient Federated Brain Tumor Classification Using Ensemble Knowledge Distillation on Non-IID DataCode0
MAProtoNet: A Multi-scale Attentive Interpretable Prototypical Part Network for 3D Magnetic Resonance Imaging Brain Tumor ClassificationCode0
MediAug: Exploring Visual Augmentation in Medical ImagingCode0
Brain Tumor Classification Using Medial Residual Encoder Layers—0
Brain Tumor Classification using Vision Transformer with Selective Cross-Attention Mechanism and Feature Calibration—0
Brain Tumor MRI Classification using a Novel Deep Residual and Regional CNN—0
Brain Tumor Segmentation from MRI Images using Deep Learning Techniques—0
Brain Tumor Type Classification via Capsule Networks—0
Capsule Networks for Brain Tumor Classification based on MRI Images and Course Tumor Boundaries—0
Comparative Analysis of Resource-Efficient CNN Architectures for Brain Tumor Classification—0
Deep Fusion Model for Brain Tumor Classification Using Fine-Grained Gradient Preservation—0
Deep Learning in Medical Image Classification from MRI-based Brain Tumor Images—0
Efficient Brain Tumor Classification with Lightweight CNN Architecture: A Novel Approach—0
Enhancing Brain Tumor Classification Using TrAdaBoost and Multi-Classifier Deep Learning Approaches—0
Enhancing Transfer Learning for Medical Image Classification with SMOTE: A Comparative Study—0
Fibonacci-Net: A Lightweight CNN model for Automatic Brain Tumor Classification—0
Generating 3D Brain Tumor Regions in MRI using Vector-Quantization Generative Adversarial Networks—0
HSADML: Hyper-Sphere Angular Deep Metric based Learning for Brain Tumor Classification—0
Hybrid Model using Feature Extraction and Non-linear SVM for Brain Tumor Classification—0
Imbalance-Aware Self-Supervised Learning for 3D Radiomic Representations—0
Multi-limb Split Learning for Tumor Classification on Vertically Distributed Data—0
Multimodal brain tumor classification—0
OpenSRH: optimizing brain tumor surgery using intraoperative stimulated Raman histology—0
Pediatric brain tumor classification using digital histopathology and deep learning: evaluation of SOTA methods on a multi-center Swedish cohort—0
Proportional Sensitivity in Generative Adversarial Network (GAN)-Augmented Brain Tumor Classification Using Convolutional Neural Network—0
Residual Vision Transformer (ResViT) Based Self-Supervised Learning Model for Brain Tumor Classification—0
SKIPNet: Spatial Attention Skip Connections for Enhanced Brain Tumor Classification—0
Streamlining Brain Tumor Classification with Custom Transfer Learning in MRI Images—0
CTVR-EHO TDA-IPH Topological Optimized Convolutional Visual Recurrent Network for Brain Tumor Segmentation and Classification—0
Transfer Learning and Explainable AI for Brain Tumor Classification: A Study Using MRI Data from Bangladesh—0
Transfer learning for automatic brain tumor classification Using MRI Images.—0
Transfer Learning Strategies for Pathological Foundation Models: A Systematic Evaluation in Brain Tumor Classification—0
A Deep Learning Approach for Brain Tumor Classification and Segmentation Using a Multiscale Convolutional Neural Network—0
Triplet Contrastive Learning for Brain Tumor Classification—0
Advancing Efficient Brain Tumor Multi-Class Classification -- New Insights from the Vision Mamba Model in Transfer Learning—0
An Optimized Ensemble Deep Learning Model For Brain Tumor Classification—0
An Ensemble Approach for Brain Tumor Segmentation and Synthesis—0
A New Deep Hybrid Boosted and Ensemble Learning-based Brain Tumor Analysis using MRI—0
A Transfer Learning Based Active Learning Framework for Brain Tumor Classification—0
Brain Tumor classification and Segmentation using Deep Learning—0
Brain Tumor Classification by Cascaded Multiscale Multitask Learning Framework Based on Feature Aggregation—0
Brain Tumor Classification From MRI Images Using Machine Learning—0
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