MBTFCN: A novel modular fully convolutional network for MRI brain tumor multi-classification
出版年份 2022 全文链接
标题
MBTFCN: A novel modular fully convolutional network for MRI brain tumor multi-classification
作者
关键词
-
出版物
EXPERT SYSTEMS WITH APPLICATIONS
Volume 212, Issue -, Pages 118776
出版商
Elsevier BV
发表日期
2022-09-09
DOI
10.1016/j.eswa.2022.118776
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- A novel framework for brain tumor detection based on convolutional variational generative models
- (2022) Wessam M. Salama et al. MULTIMEDIA TOOLS AND APPLICATIONS
- Multi-class brain tumor classification using residual network and global average pooling
- (2021) R Lokesh Kumar et al. MULTIMEDIA TOOLS AND APPLICATIONS
- Deep CNN for Brain Tumor Classification
- (2021) Wadhah Ayadi et al. NEURAL PROCESSING LETTERS
- A Transfer Learning Approach for Early Diagnosis of Alzheimer’s Disease on MRI Images
- (2021) Atif Mehmood et al. NEUROSCIENCE
- A comprehensive review on brain tumor segmentation and classification of MRI images
- (2021) Champakamala Sundar Rao et al. MULTIMEDIA TOOLS AND APPLICATIONS
- Role of Deep Learning in Brain Tumor Detection and Classification (2015 to 2020): A Review
- (2021) Maria Nazir et al. COMPUTERIZED MEDICAL IMAGING AND GRAPHICS
- MRI-Based Brain Tumor Classification Using Ensemble of Deep Features and Machine Learning Classifiers
- (2021) Jaeyong Kang et al. SENSORS
- Three-class brain tumor classification using deep dense inception residual network
- (2021) Srinath Kokkalla et al. Soft Computing
- Strip pooling channel spatial attention network for the segmentation of cloud and cloud shadow
- (2021) Yi Qu et al. COMPUTERS & GEOSCIENCES
- A survey on brain tumor detection techniques for MR images
- (2020) Prabhjot Kaur Chahal et al. MULTIMEDIA TOOLS AND APPLICATIONS
- Multimodal Brain Tumor Classification Using Deep Learning and Robust Feature Selection: A Machine Learning Application for Radiologists
- (2020) Muhammad Attique Khan et al. Diagnostics
- Predicting fetal hypoxia using common spatial pattern and machine learning from cardiotocography signals
- (2020) Wafaa Alsaggaf et al. APPLIED ACOUSTICS
- Deep Learning for Multigrade Brain Tumor Classification in Smart Healthcare Systems: A Prospective Survey
- (2020) Khan Muhammad et al. IEEE Transactions on Neural Networks and Learning Systems
- Convolutional neural network based Alzheimer’s disease classification from magnetic resonance brain images
- (2019) Rachna Jain et al. Cognitive Systems Research
- Glioma extraction from MR images employing Gradient Based Kernel Selection Graph Cut technique
- (2019) Jyotsna Dogra et al. VISUAL COMPUTER
- Brain tumor classification using deep CNN features via transfer learning
- (2019) S. Deepak et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Brain Tumor Segmentation and Classification from Magnetic Resonance Images: Review of selected methods from 2014 to 2019
- (2019) Arti Tiwari et al. PATTERN RECOGNITION LETTERS
- Active deep neural network features selection for segmentation and recognition of brain tumors using MRI images
- (2019) Muhammad Irfan Sharif et al. PATTERN RECOGNITION LETTERS
- MRI based medical image analysis: Survey on brain tumor grade classification
- (2018) Geethu Mohan et al. Biomedical Signal Processing and Control
- DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
- (2018) Liang-Chieh Chen et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Multi-grade brain tumor classification using deep CNN with extensive data augmentation
- (2018) Muhammad Sajjad et al. Journal of Computational Science
- Magnetic resonance imaging-based brain tumor grades classification and grading via convolutional neural networks and genetic algorithms
- (2018) Amin Kabir Anaraki et al. Biocybernetics and Biomedical Engineering
- Application of deep transfer learning for automated brain abnormality classification using MR images
- (2018) Muhammed Talo et al. Cognitive Systems Research
- A survey on deep learning in medical image analysis
- (2017) Geert Litjens et al. MEDICAL IMAGE ANALYSIS
- White blood cells identification system based on convolutional deep neural learning networks
- (2017) A.I. Shahin et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- The 2016 World Health Organization Classification of Tumors of the Central Nervous System: a summary
- (2016) David N. Louis et al. ACTA NEUROPATHOLOGICA
- Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?
- (2016) Nima Tajbakhsh et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Transfer Learning for Visual Categorization: A Survey
- (2015) Ling Shao et al. IEEE Transactions on Neural Networks and Learning Systems
- Enhanced Performance of Brain Tumor Classification via Tumor Region Augmentation and Partition
- (2015) Jun Cheng et al. PLoS One
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