标题
A New Deep Hybrid Boosted and Ensemble Learning-Based Brain Tumor Analysis Using MRI
作者
关键词
-
出版物
SENSORS
Volume 22, Issue 7, Pages 2726
出版商
MDPI AG
发表日期
2022-04-02
DOI
10.3390/s22072726
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。- Coronavirus disease analysis using chest X-ray images and a novel deep convolutional neural network
- (2021) Saddam Hussain Khan et al. Photodiagnosis and Photodynamic Therapy
- COVID-19 detection in chest X-ray images using deep boosted hybrid learning
- (2021) Saddam Hussain Khan et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Detection of tumour infiltrating lymphocytes in CD3 and CD8 stained histopathological images using a two-phase deep CNN
- (2021) Muhammad Mohsin Zafar et al. Photodiagnosis and Photodynamic Therapy
- Classification of Brain Tumors from MRI Images Using a Convolutional Neural Network
- (2020) Milica M. Badža et al. Applied Sciences-Basel
- Detection of tumors on brain MRI images using the hybrid convolutional neural network architecture
- (2020) Ahmet Çinar et al. MEDICAL HYPOTHESES
- Multimodal Brain Tumor Classification Using Deep Learning and Robust Feature Selection: A Machine Learning Application for Radiologists
- (2020) Muhammad Attique Khan et al. Diagnostics
- Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions
- (2017) Zeynettin Akkus et al. JOURNAL OF DIGITAL IMAGING
- A survey on deep learning in medical image analysis
- (2017) Geert Litjens et al. MEDICAL IMAGE ANALYSIS
- Noninvasive Grading of Glioma Tumor Using Magnetic Resonance Imaging with Convolutional Neural Networks
- (2017) Saed Khawaldeh et al. Applied Sciences-Basel
- Ductal carcinoma in situ detection in breast thermography by extreme learning machine and combination of statistical measure and fractal dimension
- (2017) Shui-Hua Wang et al. Journal of Ambient Intelligence and Humanized Computing
- Optimal classifier for imbalanced data using Matthews Correlation Coefficient metric
- (2017) Sabri Boughorbel et al. PLoS One
- The 2016 World Health Organization Classification of Tumors of the Central Nervous System: a summary
- (2016) David N. Louis et al. ACTA NEUROPATHOLOGICA
- Correction: Enhanced Performance of Brain Tumor Classification via Tumor Region Augmentation and Partition
- (2015) Jun Cheng et al. PLoS One
- Classification of brain tumor type and grade using MRI texture and shape in a machine learning scheme
- (2009) Evangelia I. Zacharaki et al. MAGNETIC RESONANCE IN MEDICINE
- Brain tumor characterization using the soft computing technique of fuzzy cognitive maps
- (2007) E.I. Papageorgiou et al. APPLIED SOFT COMPUTING
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