Tag: deep learning
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Active Learning Algorithms with Real-World Crowd Annotations
Explore how active learning algorithms perform using noisy, real-world crowd-sourced text annotations to improve machine learning model accuracy.
Hybrid CNN-ViT Model with Adaptive Attention for Brain Tumor MRI
Discover a hybrid CNN-ViT deep learning model with adaptive attention gate that boosts brain tumor MRI classification accuracy to 97.6%.
Interpretable Diabetic Retinopathy Grading with CNN-Transformer Models
Discover how CNN-transformer ensembles improve diabetic retinopathy grading with visual explainability and vision-language model insights for clinical use.
Hybrid Quantum-Classical Fusion for Breast Cancer Detection
Discover how hybrid quantum-classical feature fusion boosts breast cancer classification accuracy using advanced machine learning techniques.
NeuroAPS-Net: Efficient Alzheimer’s Classification with Point Clouds
Discover NeuroAPS-Net, a lightweight model using neuro-anatomical point clouds for accurate and efficient Alzheimer's disease classification from MRI data.