Latest Research in Neuro-Oncology Pattern Recognition

Top Research Topics in Neuro-Oncology Pattern Recognition

• Computer Vision and Pattern Recognition — 26 papers
• Brain Tumor Detection and Classification — 23 papers
• Advanced Neural Network Applications — 10 papers
• Image and Video Processing — 7 papers
• Cutaneous Melanoma Detection and Management — 3 papers
• Medical Image Segmentation Techniques — 2 papers
• Glioma Diagnosis and Treatment — 2 papers
• COVID-19 diagnosis using AI — 2 papers
• AI in cancer detection — 2 papers
• Authorship Attribution and Profiling — 2 papers

Highest-Cited Papers

1. Chaos-Enhanced Prototypical Networks for Few-Shot Medical Image Classification
2. Bezier-YOLO enables real-time brain tumor segmentation in multi-plane MRI through boundary-aware parametric contour regression
3. FPGA-accelerated brain tumor segmentation: a fixed-point modified fuzzy C-means approach with skipped membership RAM
4. NeuroDEEP-CNN: A Multi-Task Attention Framework for Joint Classification, Localization, and Segmentation of Brain Tumors on MRI
5. An Efficient Brain Tumor Classification Framework using Multiscale Shuffle Attention Net and Adaptive Trans-SegUnet for Segmentation
6. WoundAIssist: Development and Evaluation of an AI-Based Mobile Application for Remote Chronic Wound Care in Elderly Patients
7. GSCA-UNet: a gated spatial-channel attention U-net for accurate skin lesion segmentation
8. Learning Sparse Latent Predictive Foundation Model for Multimodal Neuroimaging
9. A Vision-Language Foundation Model for Precise and Comprehensive Brain Tumor Diagnosis from Preoperative Multimodal Data
10. The Gate Does Not Choose: An Expert-Initialised Mixture-of-Experts Outperforms Training-Free Consensus under the Official BraTS-2023 Metrics
11. A Hybrid Gabor–ViT Embedding with Gated Mamba Deep Learning Framework for Brain Tumor MRI Classification
12. Classification of Brain MRI Images with Vision Transformer: Improving Performance with New Layers and Parameter Optimization
13. De-GAN - Dynamic Parameter Tuned GAN for 3D Medical Image Segmentation: A Step Towards Generalisation
14. NeuroTS-Net: Multi-Class Semantic Segmentation of Pediatric Brain Tumors in Multi-Modal MRI
15. A3Net: A Lightweight Attention-Guided Encoder–Decoder for Multi-Class Brain Tumor Segmentation with Cross-Dataset Domain Gap Characterization
16. VLSI-Accelerated Chest X-Ray Image Segmentation using Adaptive Hybrid Clustering: MATLAB–FPGA Co-Design and Performance Evaluation
17. A controlled benchmark of CNN architectures for MRI-based brain tumor detection: Custom networks and transfer learning versus Vision Transformer baselines under a unified image-processing pipeline
18. Learnable Frequency-Domain Attention with Deep Supervision for Accurate Skin Lesion Segmentation and Diagnosis
19. Assessing nnU-Net Generalization across Brain Tumor Populations in BraTS-GoAT 2026
20. GCCA-trans: a hybrid segmentation network with guided criss-cross attention for early-stage head and neck tumors in CT images

Sub-Regions

• Image and Video Processing — 17 papers
• Brain Tumor Detection and Classification — 15 papers
• Image Enhancement Techniques — 14 papers
• Advanced Neural Network Applications — 12 papers
• Computer Vision and Pattern Recognition — 11 papers
• AI in cancer detection — 8 papers