Latest Research in Computer Vision and Pattern Recognition
11 research papers · 2026 median publication year
Top Research Topics in Computer Vision and Pattern Recognition
- Brain Tumor Detection and Classification — 4 papers
- Computer Vision and Pattern Recognition — 2 papers
- Domain Adaptation and Few-Shot Learning — 1 papers
- Advanced Neural Network Applications — 1 papers
- AI in cancer detection — 1 papers
- Glioma Diagnosis and Treatment — 1 papers
- Image and Video Processing — 1 papers
Highest-Cited Papers
- Chaos-Enhanced Prototypical Networks for Few-Shot Medical Image Classification
- A3Net: A Lightweight Attention-Guided Encoder–Decoder for Multi-Class Brain Tumor Segmentation with Cross-Dataset Domain Gap Characterization
- Assessing nnU-Net Generalization across Brain Tumor Populations in BraTS-GoAT 2026
- From redundancy to purity: A sparsity-driven feature purification network for breast ultrasound segmentation
- Synthetic rT1/T2 maps as a novel input modality for backbone U-Net glioma sub-region segmentation
- Self regularized ensemble capsule network with uncertainty guided segmentation for multimodal brain tumor classification
- Deep learning-based multi-modal imaging for early detection of brain tumour
- Impact of You Only Look Once (YOLO)-Derived Regions of Interest on U-Net Segmentation of Post-Treatment Glioma in Magnetic Resonance Imaging: A Methodological Study on the BraTS (Brain Tumor Segmentation) 2024 Dataset
- Performance trade-offs between dense prediction and sparse query mechanisms for brain tumor MRI detection: a comparative study of YOLOv8 and RT-DETR
- Reliability analysis for BraTS-GoAT segmentation: a controlled robustness study of deep-ensemble uncertainty
- Tumor-aware augmentation with task-guided attention analysis improves rectal cancer segmentation from magnetic resonance images