专题:Brain Tumor Detection and Classification

This cluster of papers focuses on the classification of brain tumor type and grade using various techniques such as MRI, deep learning, convolutional neural networks, feature extraction, and machine learning. The research aims to improve the accuracy and efficiency of brain tumor classification for better diagnosis and treatment.
最新文献
SuperLightNet: Lightweight Parameter Aggregation Network for Multimodal Brain Tumor Segmentation

article Full Text OpenAlex

Self-consistent recursive diffusion bridge for medical image translation

article Full Text OpenAlex

Self-supervised Histopathology Image Segmentation Using Transformer Networks with Attention Mechanism

book-chapter Full Text OpenAlex

2025 6th International Conference on Computer Vision, Image and Deep Learning (CVIDL)

paratext Full Text OpenAlex

2025 IEEE International Parallel and Distributed Processing Symposium (IPDPS)

paratext Full Text OpenAlex

Artificial Intelligence for Medical Diagnostics in IoT-Based Healthcare Networks: Foundations and Future Trends

article Full Text OpenAlex

Integrating artificial intelligence in healthcare: applications, challenges, and future directions

review Full Text OpenAlex

Novel Classification Scheme for Early Alzheimer's Disease (AD) Severity Diagnosis Using Deep Features of the Hybrid Cascade Attention Architecture: Early Detection of AD on MRI Scans

article Full Text OpenAlex

IRSRMamba: Infrared Image Super-Resolution via Mamba-based Wavelet Transform Feature Modulation Model

article Full Text OpenAlex

Brain-Computer Interfaces and AI Segmentation in Neurosurgery: A Systematic Review of Integrated Precision Approaches

review Full Text OpenAlex

近5年高被引文献
Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images

book-chapter Full Text OpenAlex 919 FWCI379.327

Scaling Up Your Kernels to 31×31: Revisiting Large Kernel Design in CNNs

article Full Text OpenAlex 883 FWCI72.794

A review of medical image data augmentation techniques for deep learning applications

review Full Text OpenAlex 725 FWCI19.161

TransBTS: Multimodal Brain Tumor Segmentation Using Transformer

book-chapter Full Text OpenAlex 682 FWCI181.625

Convolutional neural networks in medical image understanding: a survey

review Full Text OpenAlex 667 FWCI23.782

CNN Variants for Computer Vision: History, Architecture, Application, Challenges and Future Scope

article Full Text OpenAlex 633 FWCI49.643

IEEE Transactions on Medical Imaging

paratext Full Text OpenAlex 562 FWCI0

Medical image segmentation using deep learning: A survey

article Full Text OpenAlex 529 FWCI64.619

Brain tumor segmentation based on deep learning and an attention mechanism using MRI multi-modalities brain images

article Full Text OpenAlex 488 FWCI41.645

MRI-Based Brain Tumor Classification Using Ensemble of Deep Features and Machine Learning Classifiers

article Full Text OpenAlex 453 FWCI38.882