Related references
Note: Only part of the references are listed.Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries
Hyuna Sung et al.
CA-A CANCER JOURNAL FOR CLINICIANS (2021)
Cancer statistics for adolescents and young adults, 2020
Kimberly D. Miller et al.
CA-A CANCER JOURNAL FOR CLINICIANS (2020)
Automated Brain Tumor Segmentation Using Multimodal Brain Scans: A Survey Based on Models Submitted to the BraTS 2012-2018 Challenges
Mina Ghaffari et al.
IEEE REVIEWS IN BIOMEDICAL ENGINEERING (2020)
Modified local ternary patterns technique for brain tumour segmentation and volume estimation from MRI multi-sequence scans with GPU CUDA machine
Padmanaban Sriramakrishnan et al.
BIOCYBERNETICS AND BIOMEDICAL ENGINEERING (2019)
An overview of deep learning in medical imaging focusing on MRI
Alexander Selvikvag Lundervold et al.
ZEITSCHRIFT FUR MEDIZINISCHE PHYSIK (2019)
Supervised learning based multimodal MRI brain tumour segmentation using texture features from supervoxels
Mohammadreza Soltaninejad et al.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2018)
One-Pass Multi-task Convolutional Neural Networks for Efficient Brain Tumor Segmentation
Chenhong Zhou et al.
MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION, PT III (2018)
Brain tumor segmentation with Deep Neural Networks
Mohammad Havaei et al.
MEDICAL IMAGE ANALYSIS (2017)
Densely Connected Convolutional Networks
Gao Huang et al.
30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)
Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images
Sergio Pereira et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2016)
Brain tumour classification using two-tier classifier with adaptive segmentation technique
V. Anitha et al.
IET COMPUTER VISION (2016)
The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)
Bjoern H. Menze et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2015)
Optimal Symmetric Multimodal Templates and Concatenated Random Forests for Supervised Brain Tumor Segmentation (Simplified) with ANTsR
Nicholas J. Tustison et al.
NEUROINFORMATICS (2015)
Automated Glioblastoma Segmentation Based on a Multiparametric Structured Unsupervised Classification
Javier Juan-Albarracin et al.
PLOS ONE (2015)
A Survey of MRI-Based Brain Tumor Segmentation Methods
Jin Liu et al.
TSINGHUA SCIENCE AND TECHNOLOGY (2014)
State of the art survey on MRI brain tumor segmentation
Nelly Gordillo et al.
MAGNETIC RESONANCE IMAGING (2013)
N4ITK: Improved N3 Bias Correction
Nicholas J. Tustison et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2010)
Brain tumor target volume determination for radiation treatment planning through automated MRI segmentation
GP Mazzara et al.
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS (2004)
New variants of a method of MRI scale standardization
LG Nyúl et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2000)
Share Paper
