ArticleFrontiers in neuroscience2021
Brain Tumor MR Image Classification Using Convolutional Dictionary Learning With Local Constraint.
Article in Frontiers in neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.
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Who cites it
23 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Application of artificial intelligence and radiomics in pituitary neuroendocrine and sellar tumors: a quantitative and qualitative synthesis.Neuroradiology · 2022Pooled it
- Article
- Enhanced Brain Tumor Classification with Convolutional Neural Networks.Advances in experimental medicine and biology · 2026Article
- A Multi-Task EfficientNetV2S Approach with Hierarchical Hybrid Attention for MRI Enhancing Brain Tumor Segmentation and Classification.Brain sciences · 2025Article
- Review
- Brain tumor classification using GAN-augmented data with autoencoders and Swin Transformers.Frontiers in medicine · 2025Article
- The Neural Frontier of Future Medical Imaging: A Review of Deep Learning for Brain Tumor Detection.Journal of imaging · 2024Review
- Brain CT image classification based on mask RCNN and attention mechanism.Scientific reports · 2024Article
- Identification of agricultural surface source pollution in plain river network areas based on 3D-EEMs and convolutional neural networks.Water science and technology : a journal of the International Association on Water Pollution Research · 2024Article
- Advances in the Use of Deep Learning for the Analysis of Magnetic Resonance Image in Neuro-Oncology.Cancers · 2024Review
- A robust approach for multi-type classification of brain tumor using deep feature fusion.Frontiers in neuroscience · 2024Article
- Enhancing brain tumor detection: a novel CNN approach with advanced activation functions for accurate medical imaging analysis.Frontiers in oncology · 2024Article
- Multimodal hybrid convolutional neural network based brain tumor grade classification.BMC bioinformatics · 2023Article
- Attention Deep Feature Extraction from Brain MRIs in Explainable Mode: DGXAINet.Diagnostics (Basel, Switzerland) · 2023Article
- EFF_D_SVM: a robust multi-type brain tumor classification system.Frontiers in neuroscience · 2023Article
- Convolutional Neural Network Techniques for Brain Tumor Classification (from 2015 to 2022): Review, Challenges, and Future Perspectives.Diagnostics (Basel, Switzerland) · 2022Review
- Application of Genetic Algorithm and U-Net in Brain Tumor Segmentation and Classification: A Deep Learning Approach.Computational intelligence and neuroscience · 2022Article
- Computational and Mathematical Methods in Medicine Glioma Brain Tumor Detection and Classification Using Convolutional Neural Network.Computational and mathematical methods in medicine · 2022Article
- Intelligent Extraction of Salient Feature From Electroencephalogram Using Redundant Discrete Wavelet Transform.Frontiers in neuroscience · 2022Article
- A Precise Medical Imaging Approach for Brain MRI Image Classification.Computational intelligence and neuroscience · 2022Article
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5 authors.
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Abstract
Brain tumor image classification is an important part of medical image processing. It assists doctors to make accurate diagnosis and treatment plans. Magnetic resonance (MR) imaging is one of the main imaging tools to study brain tissue. In this article, we propose a brain tumor MR image classification method using convolutional dictionary learning with local constraint (CDLLC). Our method integrates the multi-layer dictionary learning into a convolutional neural network (CNN) structure to explore the discriminative information. Encoding a vector on a dictionary can be considered as multiple projections into new spaces, and the obtained coding vector is sparse. Meanwhile, in order to preserve the geometric structure of data and utilize the supervised information, we construct the local constraint of atoms through a supervised
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