MRI-based brain tumor detection using convolutional deep learning methods and chosen machine learning techniques
出版年份 2023 全文链接
标题
MRI-based brain tumor detection using convolutional deep learning methods and chosen machine learning techniques
作者
关键词
-
出版物
BMC Medical Informatics and Decision Making
Volume 23, Issue 1, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2023-01-24
DOI
10.1186/s12911-023-02114-6
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Efficient Deep Neural Networks for Classification of Alzheimer’s Disease and Mild Cognitive Impairment from Scalp EEG Recordings
- (2022) Saman Fouladi et al. Cognitive Computation
- Efficient deep neural networks for classification of COVID-19 based on CT images: Virtualization via software defined radio
- (2021) Saman Fouladi et al. COMPUTER COMMUNICATIONS
- Radiomic machine learning for predicting prognostic biomarkers and molecular subtypes of breast cancer using tumor heterogeneity and angiogenesis properties on MRI
- (2021) Ji Young Lee et al. EUROPEAN RADIOLOGY
- Classification of Brain Tumors from MRI Images Using a Convolutional Neural Network
- (2020) Milica M. Badža et al. Applied Sciences-Basel
- Exposure to lead increases the risk of meningioma and brain cancer: A meta-analysis
- (2020) Yu Meng et al. JOURNAL OF TRACE ELEMENTS IN MEDICINE AND BIOLOGY
- Deep learning based enhanced tumor segmentation approach for MR brain images
- (2019) Mamta Mittal et al. APPLIED SOFT COMPUTING
- A Deep Learning-Based Framework for Automatic Brain Tumors Classification Using Transfer Learning
- (2019) Arshia Rehman et al. CIRCUITS SYSTEMS AND SIGNAL PROCESSING
- Deep learning-based cardiovascular image diagnosis: A promising challenge
- (2019) Kelvin K.L. Wong et al. Future Generation Computer Systems-The International Journal of eScience
- Brain Tumors
- (2018) J. Ricardo McFaline-Figueroa et al. AMERICAN JOURNAL OF MEDICINE
- Segmentation of glioma tumors in brain using deep convolutional neural network
- (2018) Saddam Hussain et al. NEUROCOMPUTING
- Two-phase multi-model automatic brain tumour diagnosis system from magnetic resonance images using convolutional neural networks
- (2018) Mahmoud Khaled Abd-Ellah et al. EURASIP Journal on Image and Video Processing
- Detection of Brain Tumor based on Features Fusion and Machine Learning
- (2018) Javeria Amin et al. Journal of Ambient Intelligence and Humanized Computing
- Deep Convolutional Neural Network for Inverse Problems in Imaging
- (2017) Kyong Hwan Jin et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- A data mining study on combustion dynamics and NOx emission of a swirl stabilised combustor with secondary fuel injection
- (2017) Rouzbeh Riazi et al. International Journal of Heavy Vehicle Systems
- A survey on deep learning in medical image analysis
- (2017) Geert Litjens et al. MEDICAL IMAGE ANALYSIS
- Brain tumor classification from multi-modality MRI using wavelets and machine learning
- (2017) Khalid Usman et al. PATTERN ANALYSIS AND APPLICATIONS
- Artificial neural networks for automatic segmentation and identification of nasopharyngeal carcinoma
- (2017) Mazin Abed Mohammed et al. Journal of Computational Science
- An intelligent lung cancer diagnosis system using cuckoo search optimization and support vector machine classifier
- (2017) M. Prabukumar et al. Journal of Ambient Intelligence and Humanized Computing
- Computer-aided diagnosis of human brain tumor through MRI: A survey and a new algorithm
- (2014) El-Sayed A. El-Dahshan et al. EXPERT SYSTEMS WITH APPLICATIONS
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started