Multimodal Brain Tumor Classification Using Deep Learning and Robust Feature Selection: A Machine Learning Application for Radiologists
出版年份 2020 全文链接
标题
Multimodal Brain Tumor Classification Using Deep Learning and Robust Feature Selection: A Machine Learning Application for Radiologists
作者
关键词
-
出版物
Diagnostics
Volume 10, Issue 8, Pages 565
出版商
MDPI AG
发表日期
2020-08-07
DOI
10.3390/diagnostics10080565
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。- Microscopic melanoma detection and classification: A framework of pixel‐based fusion and multilevel features reduction
- (2020) Amjad Rehman et al. MICROSCOPY RESEARCH AND TECHNIQUE
- Classification of stomach infections: A paradigm of convolutional neural network along with classical features fusion and selection
- (2020) Abdul Majid et al. MICROSCOPY RESEARCH AND TECHNIQUE
- Brain tumor detection based on extreme learning
- (2020) Muhammad Sharif et al. NEURAL COMPUTING & APPLICATIONS
- Gastrointestinal diseases segmentation and classification based on duo-deep architectures
- (2020) Mehshan Ahmed Khan et al. PATTERN RECOGNITION LETTERS
- A Novel Transfer Learning Based Approach for Pneumonia Detection in Chest X-ray Images
- (2020) Vikash Chouhan et al. Applied Sciences-Basel
- IOUC-3DSFCNN: Segmentation of Brain Tumors via IOU Constraint 3D Symmetric Full Convolution Network with Multimodal Auto-context
- (2020) Jinping Liu et al. Scientific Reports
- Classification of brain MRI using hyper column technique with convolutional neural network and feature selection method
- (2020) Mesut Toğaçar et al. EXPERT SYSTEMS WITH APPLICATIONS
- A Sustainable Deep Learning Framework for Object Recognition Using Multi-Layers Deep Features Fusion and Selection
- (2020) Muhammad Rashid et al. Sustainability
- 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
- Brain tumor detection and classification: A framework of marker-based watershed algorithm and multilevel priority features selection
- (2019) Muhammad A. Khan et al. MICROSCOPY RESEARCH AND TECHNIQUE
- Brain tumor classification for MR images using transfer learning and fine-tuning
- (2019) Zar Nawab Khan Swati et al. COMPUTERIZED MEDICAL IMAGING AND GRAPHICS
- A neuro-heuristic approach for recognition of lung diseases from X-ray images
- (2019) Qiao Ke et al. EXPERT SYSTEMS WITH APPLICATIONS
- A Deep Learning-Based Framework for Automatic Brain Tumors Classification Using Transfer Learning
- (2019) Arshia Rehman et al. CIRCUITS SYSTEMS AND SIGNAL PROCESSING
- 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
- An enhanced deep learning approach for brain cancer MRI images classification using residual networks
- (2019) Sarah Ali Abdelaziz Ismael et al. ARTIFICIAL INTELLIGENCE IN MEDICINE
- Deep neural network with generative adversarial networks pre-training for brain tumor classification based on MR images
- (2019) Navid Ghassemi et al. Biomedical Signal Processing and Control
- A new approach for brain tumor diagnosis system: Single image super resolution based maximum fuzzy entropy segmentation and convolutional neural network
- (2019) Eser Sert et al. MEDICAL HYPOTHESES
- Brain tumor classification based on DWT fusion of MRI sequences using convolutional neural network
- (2019) Javaria Amin et al. PATTERN RECOGNITION LETTERS
- Lungs cancer classification from CT images: An integrated design of contrast based classical features fusion and selection
- (2019) M. Attique Khan et al. PATTERN RECOGNITION LETTERS
- Developed Newton-Raphson based deep features selection framework for skin lesion recognition
- (2019) Muhammad Attique Khan 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
- Fully automatic model-based segmentation and classification approach for MRI brain tumor using artificial neural networks
- (2018) N. Arunkumar et al. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
- Multi-grade brain tumor classification using deep CNN with extensive data augmentation
- (2018) Muhammad Sajjad et al. Journal of Computational Science
- Brain tumor segmentation and classification by improved binomial thresholding and multi-features selection
- (2018) Muhammad Sharif et al. Journal of Ambient Intelligence and Humanized Computing
- Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images
- (2016) Sergio Pereira et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
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