Brain tumor segmentation using deep learning: taxonomy, survey and challenges-Reference-Cited by-同舟云学术

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Brain tumor segmentation using deep learning: taxonomy, survey and challenges

Published:2022 Issue: Volume: Page:225-238
ISSN:
Container-title:Brain Tumor MRI Image Segmentation Using Deep Learning Techniques
language:
Short-container-title:

Author:

Kaur Ranjeet,Doegar Amit

Publisher

Elsevier

Reference39 articles.

1. Segmentation of glioma tumors in brain using deep convolutional neural network;Hussain;Neurocomputing,2018

2. VoxResNet: deep voxelwise residual networks for brain segmentation from 3D MR images;Hao;NeuroImage,2018

3. Fully automatic brain tumor segmentation using end-to-end incremental deep neural networks in MRI images;Rachida;Comput. Methods Prog. Biomed.,2018

4. Fully automated multi-parametric brain tumour segmentation using superpixel based classification;Rehman;Expert Syst. Appl.,2019

5. Multi-grade brain tumor classification using deep CNN with extensive data augmentation;Sajjad;J. Comput. Sci.,2019

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. ML_BrainDetection: An Intelligent Model for Brain Tumor Identification Using Machine Learning;2023 International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC);2023-09-27

2. Encoder–decoder semantic segmentation models for pressure wound images;The Imaging Science Journal;2022-02-17

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