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Double Attention: An Optimization Method for the Self-Attention Mechanism Based on Human Attention
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Deep unsupervised clustering for prostate auto-segmentation with and without hydrogel spacer
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The Relevance of the Virchow Node and Virchow Triad in Renal Cancer Diagnosis
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104
BucketAugment: Reinforced Domain Generalisation in Abdominal CT Segmentation
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105
Adaptive Refinement of Segmented Object Contour Based on the Brightness of Neighboring Pixels Using the Ensemble Method
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106
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Enhancing Thyroid Nodule Detection in Ultrasound Images: A Novel YOLOv8 Architecture with a C2fA Module and Optimized Loss Functions
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108
AFN-Net: Adaptive Fusion Nucleus Segmentation Network Based on Multi-Level U-Net
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109
Clinical Big Data and Deep Learning: Applications, Challenges, and Future Outlooks
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110
Automated orthodontic diagnosis via self-supervised learning and multi-attribute classification using lateral cephalograms
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111
MUNet: a novel framework for accurate brain tumor segmentation combining UNet and mamba networks
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112
Deep Learning Techniques in DICOM Files Classification: A Systematic Review
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113
GastroFuse-Net: an ensemble deep learning framework designed for gastrointestinal abnormality detection in endoscopic images
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114
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Hybrid deep learning approach for brain tumor classification using EfficientNetB0 and novel quantum genetic algorithm
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116
A quantum-optimized approach for breast cancer detection using SqueezeNet-SVM
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117
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Ischemic Stroke Lesion Segmentation on Multiparametric CT Perfusion Maps Using Deep Neural Network
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119
Accessible AI Diagnostics and Lightweight Brain Tumor Detection on Medical Edge Devices
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120
Explainable AI in Diagnostic Radiology for Neurological Disorders: A Systematic Review, and What Doctors Think About It
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