Efficient simultaneous segmentation and classification of brain tumors from MRI scans using deep learning
Published 2023 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Efficient simultaneous segmentation and classification of brain tumors from MRI scans using deep learning
Authors
Keywords
-
Journal
Biocybernetics and Biomedical Engineering
Volume 43, Issue 3, Pages 616-633
Publisher
Elsevier BV
Online
2023-09-05
DOI
10.1016/j.bbe.2023.08.003
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- MRI-based brain tumor detection using convolutional deep learning methods and chosen machine learning techniques
- (2023) Soheila Saeedi et al. BMC Medical Informatics and Decision Making
- dResU-Net: 3D deep residual U-Net based brain tumor segmentation from multimodal MRI
- (2022) Rehan Raza et al. Biomedical Signal Processing and Control
- Multimodal brain tumor detection using multimodal deep transfer learning
- (2022) Parvin Razzaghi et al. APPLIED SOFT COMPUTING
- Brain tumor segmentation based on the fusion of deep semantics and edge information in multimodal MRI
- (2022) Zhiqin Zhu et al. Information Fusion
- Ensemble deep learning for brain tumor detection
- (2022) Shtwai Alsubai et al. Frontiers in Computational Neuroscience
- MBTFCN: A novel modular fully convolutional network for MRI brain tumor multi-classification
- (2022) Ahmed I. Shahin et al. EXPERT SYSTEMS WITH APPLICATIONS
- Brain tumor categorization from imbalanced MRI dataset using weighted loss and deep feature fusion
- (2022) S. Deepak et al. NEUROCOMPUTING
- The intracranial tumor segmentation challenge: Contour tumors on brain MRI for radiosurgery
- (2021) Shao-Lun Lu et al. NEUROIMAGE
- Classification of Brain MRI Tumor Images Based on Deep Learning PGGAN Augmentation
- (2021) Ahmed M. Gab Allah et al. Diagnostics
- Brain tumor classification using a hybrid deep autoencoder with Bayesian fuzzy clustering-based segmentation approach
- (2020) P.M. Siva Raja et al. Biocybernetics and Biomedical Engineering
- A novel privacy-supporting 2-class classification technique for brain MRI images
- (2020) Swagatika Devi et al. Biocybernetics and Biomedical Engineering
- A deep Residual U-Net convolutional neural network for automated lung segmentation in computed tomography images
- (2020) Anita Khanna et al. Biocybernetics and Biomedical Engineering
- Optimization driven Deep Convolution Neural Network for brain tumor classification
- (2020) Sharan Kumar et al. Biocybernetics and Biomedical Engineering
- Detection of brain tumors from MRI images base on deep learning using hybrid model CNN and NADE
- (2020) Raheleh Hashemzehi et al. Biocybernetics and Biomedical Engineering
- Detection of pseudo brain tumors via stacked LSTM neural networks using MR spectroscopy signals
- (2020) Emre Dandıl et al. Biocybernetics and Biomedical Engineering
- Modified local ternary patterns technique for brain tumour segmentation and volume estimation from MRI multi-sequence scans with GPU CUDA machine
- (2019) P. Sriramakrishnan et al. Biocybernetics and Biomedical Engineering
- Multi-channeled MR brain image segmentation: A new automated approach combining BAT and clustering technique for better identification of heterogeneous tumors
- (2019) Saravanan Alagarsamy et al. Biocybernetics and Biomedical Engineering
- A deep learning model integrating SK-TPCNN and random forests for brain tumor segmentation in MRI
- (2019) Tiejun Yang et al. Biocybernetics and Biomedical Engineering
- Social-group-optimization based tumor evaluation tool for clinical brain MRI of flair/DW modality
- (2019) Nilanjan Dey et al. Biocybernetics and Biomedical Engineering
- An optimal spectroscopic feature fusion strategy for MR brain tumor classification using Fisher Criteria and Parameter-Free BAT optimization algorithm
- (2018) Taranjit Kaur et al. Biocybernetics and Biomedical Engineering
- Bayesian HCS-based multi-SVNN: A classification approach for brain tumor segmentation and classification using Bayesian fuzzy clustering
- (2018) A. Ratna Raju et al. Biocybernetics and Biomedical Engineering
- MRI based medical image analysis: Survey on brain tumor grade classification
- (2018) Geethu Mohan et al. Biomedical Signal Processing and Control
- Extracting tumor in MR brain and breast image with Kapur’s entropy based Cuckoo Search Optimization and morphological reconstruction filters
- (2018) R. Sumathi et al. Biocybernetics and Biomedical Engineering
- 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
- The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)
- (2015) Bjoern H. Menze et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExplorePublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More