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Diagram of HSS-Net architecture showing encoder-decoder structure with separable convolution and Mamba blocks for echocardiography video segmentation.
Hierarchical Spatio-temporal Segmentation Network (HSS-Net) for Accurate Ejection Fraction Estimation
Cardiovascular diseases remain the leading cause of death worldwide, making accurate and early diagnosis critical. Among the most vital metrics in cardiac...
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RoofSeg: An edge-aware transformer-based network for precise roof plane segmentation from LiDAR point clouds
RoofSeg: Revolutionizing Roof Plane Segmentation with Edge-Aware Transformers
RoofSeg: A Breakthrough in End-to-End Roof Plane Segmentation Using Transformers In the rapidly evolving field of 3D urban modeling and geospatial analysis,...
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Visual representation of ACAM-KD framework showing student-teacher cross-attention and dynamic masking for improved knowledge distillation in object detection and segmentation.
ACAM-KD: Adaptive and Cooperative Attention Masking for Knowledge Distillation
In the rapidly evolving world of deep learning, deploying high-performance models on resource-constrained devices remains a critical challenge—especially...
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Visual illustration of task-specific knowledge distillation transferring learned features from a large Vision Foundation Model (SAM) to a lightweight ViT-Tiny for medical image segmentation.
Task-Specific Knowledge Distillation in Medical Imaging: A Breakthrough for Efficient Segmentation
Revolutionizing Medical Image Segmentation with Task-Specific Knowledge Distillation In the rapidly evolving field of medical artificial intelligence,...
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Diagram showing Quantum Vision Transformer (QViT) architecture with Quantum Self-Attention (QSA) replacing classical Self-Attention (SA) in a biomedical image classification model.
Quantum Self-Attention in Vision Transformers: A 99.99% More Efficient Path for Biomedical Image Classification
In the rapidly evolving field of biomedical image classification, deep learning models like Vision Transformers (ViTs) have set new performance benchmarks....
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Med-CTX model architecture for explainable breast cancer ultrasound segmentation using clinical reports and BI-RADS integration
Med-CTX: Revolutionizing Breast Cancer Ultrasound Segmentation with Multimodal Transformers
Breast cancer remains one of the most prevalent cancers worldwide, with early and accurate diagnosis being crucial for effective treatment. Medical imaging,...
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CaLID model for 3D Volume Reconstruction
Revolutionizing Cardiac MRI with Latent Interpolation Diffusion Models for Accurate 3D Volume Reconstruction
Introduction: The Challenge of Sparse Cardiac MRI Data Cardiac Magnetic Resonance (CMR) imaging has become an indispensable tool in modern cardiology,...
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SCRNet: A breakthrough in medical ultrasound image segmentation
SCRNet: Spatial-Channel Regulation Network for Medical Ultrasound Image Segmentation
Medical ultrasound imaging is a cornerstone of modern diagnostics, offering real-time, non-invasive visualization of internal organs and pathologies such...
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GeoSAM2 architecture diagram showing multi-view processing with SAM2 and LoRA modules.
GeoSAM2 3D Part Segmentation — Prompt-Controllable, Geometry-Aware Masks for Precision 3D Editing
In the rapidly evolving field of computer vision and 3D modeling, 3D part segmentation has emerged as a critical yet challenging task. Whether...
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Best Drama Series of 2024
Best Drama Series of 2024: 12 Must-Watch Shows That Defined the Year
2024 was a banner year for television drama — established franchises doubled down on quality, streaming services rolled out audacious prestige projects,...
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A medical AI system using YOLOv8 and hyperparameter optimization to detect coronary artery stenosis in invasive coronary angiography images.
Hyperparameter Optimization of YOLO Models for Invasive Coronary Angiography Lesion Detection
Revolutionizing Cardiac Care: How Hyperparameter Optimization Boosts YOLO Accuracy in Coronary Lesion Detection Cardiovascular diseases remain the leading...
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Deadpool & Wolverine (Best Movie of 2024)
Why Deadpool & Wolverine is the Undisputed Best Movie of 2024 — A Game-Changing Superhero Event
The cinematic year of 2024 gave us billion-dollar blockbusters, daring indie experiments, and a few long-awaited sequels. But one film stole the spotlight,...
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Diagram illustrating the FRIES framework for estimating inconsistency in saliency metrics across deep learning models and perturbations.
FRIES: A Groundbreaking Framework for Inconsistency Estimation of Saliency Metrics
Unlocking Trust in AI: Introducing FRIES – The First Framework for Inconsistency Estimation of Saliency Metrics As artificial intelligence (AI) becomes...
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Discover RETTA: the first retrieval-enhanced test-time adaptation framework for zero-shot video captioning.
RETTA: Retrieval-Enhanced Test-Time Adaptation for Zero-Shot Video Captioning
RETTA: Revolutionizing Zero-Shot Video Captioning with Retrieval-Enhanced Test-Time Adaptation In the rapidly evolving field of vision-language modeling,...
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Discover DeepSPV—the first deep learning pipeline to estimate 3D spleen volume from 2D ultrasound
DeepSPV: Revolutionizing 3D Spleen Volume Estimation from 2D Ultrasound with AI
In the rapidly evolving field of medical imaging, accurate and non-invasive assessment of organ size is critical—especially when managing chronic conditions...
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Highest-Watch Movies of 2025
7 Mind-Blowing & 1 Heartbreaking Highest-Watch Movies of 2025 You Must Stream Tonight
Quick Jump Menu Why “highest watch” beats box-office gross The 7 biggest crowd-pullers (and why they hooked viewers) The 1 colossal flop nobody saw coming...
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Visual comparison of feature clustering with CE vs. SuperCM using t-SNE plots on CIFAR-10, SVHN, and MNIST datasets—showing tighter, more separated clusters with SuperCM."
7 Shocking Ways SuperCM Boosts Accuracy (And 1 Fatal Flaw You Must Avoid)
In the world of machine learning, semi-supervised learning (SSL) and unsupervised domain adaptation (UDA) are game-changers—especially when labeled data...
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Infographic showing Gauging-β algorithm workflow: border detection, hierarchical clustering, and reassignment of points for superior data separation.
7 Revolutionary Clustering Breakthroughs: Why Gauging-β Outperforms (And When It Fails)
In the rapidly evolving world of machine learning and data science, clustering algorithms are the backbone of unsupervised learning. Yet, despite decades...
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