标题
Intelligent Ultra-Light Deep Learning Model for Multi-Class Brain Tumor Detection
作者
关键词
-
出版物
Applied Sciences-Basel
Volume 12, Issue 8, Pages 3715
出版商
MDPI AG
发表日期
2022-04-08
DOI
10.3390/app12083715
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。- 3D AGSE-VNet: an automatic brain tumor MRI data segmentation framework
- (2022) Xi Guan et al. BMC MEDICAL IMAGING
- ME‐Net : Multi‐encoder net framework for brain tumor segmentation
- (2021) Wenbo Zhang et al. INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY
- A Novel Deep Learning Method for Recognition and Classification of Brain Tumors from MRI Images
- (2021) Momina Masood et al. Diagnostics
- Fluorescence-Guided Surgery: A Review on Timing and Use in Brain Tumor Surgery
- (2021) Alexander J. Schupper et al. Frontiers in Neurology
- A Deep Multi-Task Learning Framework for Brain Tumor Segmentation
- (2021) He Huang et al. Frontiers in Oncology
- Unbox the black-box for the medical explainable AI via multi-modal and multi-centre data fusion: A mini-review, two showcases and beyond
- (2021) Guang Yang et al. Information Fusion
- Near real-time intraoperative brain tumor diagnosis using stimulated Raman histology and deep neural networks
- (2020) Todd C. Hollon et al. NATURE MEDICINE
- Rise of Raman spectroscopy in neurosurgery: a review
- (2020) Damon DePaoli et al. JOURNAL OF BIOMEDICAL OPTICS
- Classification of Brain Tumors from MRI Images Using a Convolutional Neural Network
- (2020) Milica M. Badža et al. Applied Sciences-Basel
- Brain tumor classification using modified local binary patterns (LBP) feature extraction methods
- (2020) Kaplan Kaplan et al. MEDICAL HYPOTHESES
- 3D PBV-Net: An automated prostate MRI data segmentation method
- (2020) Yao Jin et al. COMPUTERS IN BIOLOGY AND MEDICINE
- One-vs-One classification for deep neural networks
- (2020) Pornntiwa Pawara et al. PATTERN RECOGNITION
- A review of the medical hyperspectral imaging systems and unmixing algorithms’ in biological tissues
- (2020) Aziz ul Rehman et al. Photodiagnosis and Photodynamic Therapy
- Real-time intraoperative ultrasound in brain surgery: neuronavigation and use of contrast-enhanced image fusion
- (2019) Mario Ganau et al. QUANTITATIVE IMAGING IN MEDICINE AND SURGERY
- Cost-effectiveness of Intraoperative MRI for Treatment of High-Grade Gliomas
- (2019) Peter Abraham et al. RADIOLOGY
- A Novel Method for Classifying Liver and Brain Tumors Using Convolutional Neural Networks, Discrete Wavelet Transform and Long Short-Term Memory Networks
- (2019) Kutlu et al. SENSORS
- 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 Deep Learning-Based Framework for Automatic Brain Tumors Classification Using Transfer Learning
- (2019) Arshia Rehman et al. CIRCUITS SYSTEMS AND SIGNAL PROCESSING
- Toward Improving Safety in Neurosurgery with an Active Handheld Instrument
- (2018) Sara Moccia et al. ANNALS OF BIOMEDICAL ENGINEERING
- Supervised learning based multimodal MRI brain tumour segmentation using texture features from supervoxels
- (2018) Mohammadreza Soltaninejad et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- An Intraoperative Visualization System Using Hyperspectral Imaging to Aid in Brain Tumor Delineation
- (2018) Himar Fabelo et al. SENSORS
- Optical coherence tomography for precision brain imaging, neurosurgical guidance and minimally invasive theranostics
- (2018) Yingwei Fan et al. BioScience Trends
- Real-Time Imaging of Brain Tumor for Image-Guided Surgery
- (2018) Shuang Hu et al. Advanced Healthcare Materials
- 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
- A survey on deep learning in medical image analysis
- (2017) Geert Litjens et al. MEDICAL IMAGE ANALYSIS
- The 2016 World Health Organization Classification of Tumors of the Central Nervous System: a summary
- (2016) David N. Louis et al. ACTA NEUROPATHOLOGICA
- A package-SFERCB-“Segmentation, feature extraction, reduction and classification analysis by both SVM and ANN for brain tumors”
- (2016) Jainy Sachdeva et al. APPLIED SOFT COMPUTING
- Applications of Ultrasound in the Resection of Brain Tumors
- (2016) Rahul Sastry et al. JOURNAL OF NEUROIMAGING
- Automated brain tumour detection and segmentation using superpixel-based extremely randomized trees in FLAIR MRI
- (2016) Mohammadreza Soltaninejad et al. International Journal of Computer Assisted Radiology and Surgery
- ImageNet Large Scale Visual Recognition Challenge
- (2015) Olga Russakovsky et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
- Deep learning
- (2015) Yann LeCun et al. NATURE
- Detection of human brain cancer infiltration ex vivo and in vivo using quantitative optical coherence tomography
- (2015) Carmen Kut et al. Science Translational Medicine
- Enhanced Performance of Brain Tumor Classification via Tumor Region Augmentation and Partition
- (2015) Jun Cheng et al. PLoS One
- Genetics of adult glioma
- (2012) McKinsey L. Goodenberger et al. Cancer Genetics
- A novel hybrid CNN–SVM classifier for recognizing handwritten digits
- (2011) Xiao-Xiao Niu et al. PATTERN RECOGNITION
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