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。MR brain segmentation based on DE-ResUnet combining texture features and background knowledge
Liang Wu et al.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2022)
Deep Learning for Multigrade Brain Tumor Classification in Smart Healthcare Systems: A Prospective Survey
Khan Muhammad et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2021)
GCAUNet: A group cross-channel attention residual UNet for slice based brain tumor segmentation
Zheng Huang et al.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2021)
Brain tumor detection using fusion of hand crafted and deep learning features
Tanzila Saba et al.
COGNITIVE SYSTEMS RESEARCH (2020)
Deep neural network with generative adversarial networks pre-training for brain tumor classification based on MR images
Navid Ghassemi et al.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2020)
The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation
Davide Chicco et al.
BMC GENOMICS (2020)
A survey on brain tumor detection techniques for MR images
Prabhjot Kaur Chahal et al.
MULTIMEDIA TOOLS AND APPLICATIONS (2020)
Optimization driven Deep Convolution Neural Network for brain tumor classification
Sharan Kumar et al.
BIOCYBERNETICS AND BIOMEDICAL ENGINEERING (2020)
Brain tumor classification using modified local binary patterns (LBP) feature extraction methods
Kaplan Kaplan et al.
MEDICAL HYPOTHESES (2020)
BAT Algorithm With fuzzy C-Ordered Means (BAFCOM) Clustering Segmentation and Enhanced Capsule Networks (ECN) for Brain Cancer MRI Images Classification
Afnan M. Alhassan et al.
IEEE ACCESS (2020)
Magnetic resonance imaging-based brain tumor grades classification and grading via convolutional neural networks and genetic algorithms
Amin Kabir Anaraki et al.
BIOCYBERNETICS AND BIOMEDICAL ENGINEERING (2019)
A novel end-to-end brain tumor segmentation method using improved fully convolutional networks
Haichun Li et al.
COMPUTERS IN BIOLOGY AND MEDICINE (2019)
Adversarial learning for deformable registration of brain MR image using a multi-scale fully convolutional network
Luwen Duan et al.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2019)
Multi-grade brain tumor classification using deep CNN with extensive data augmentation
Muhammad Sajjad et al.
JOURNAL OF COMPUTATIONAL SCIENCE (2019)
Neural Network Based Brain Tumor Detection Using Wireless Infrared Imaging Sensor
P. Mohamed Shakeel et al.
IEEE ACCESS (2019)
Automatic Human Brain Tumor Detection in MRI Image Using Template-Based K Means and Improved Fuzzy C Means Clustering Algorithm
Md Shahariar Alam et al.
BIG DATA AND COGNITIVE COMPUTING (2019)
Multi-Classification of Brain Tumor Images Using Deep Neural Network
Hossam H. Sultan et al.
IEEE ACCESS (2019)
MRI Brain Images Classification: A Multi-Level Threshold Based Region Optimization Technique
P. Kanmani et al.
JOURNAL OF MEDICAL SYSTEMS (2018)
Image Analysis for MRI Based Brain Tumor Detection and Feature Extraction Using Biologically Inspired BWT and SVM
Nilesh Bhaskarrao Bahadure et al.
INTERNATIONAL JOURNAL OF BIOMEDICAL IMAGING (2017)
A social spider algorithm for global optimization
James J. Q. Yu et al.
APPLIED SOFT COMPUTING (2015)
A swarm optimization algorithm inspired in the behavior of the social-spider
Erik Cuevas et al.
EXPERT SYSTEMS WITH APPLICATIONS (2013)
A Watermarking-Based Medical Image Integrity Control System and an Image Moment Signature for Tampering Characterization
Gouenou Coatrieux et al.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2013)
Interrater reliability: the kappa statistic
Mary L. McHugh
BIOCHEMIA MEDICA (2012)
Classification of Brain Tumor Type and Grade Using MRI Texture and Shape in a Machine Learning Scheme
Evangelia I. Zacharaki et al.
MAGNETIC RESONANCE IN MEDICINE (2009)