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An end‐to‐end brain tumor segmentation system using multi‐inception‐UNET

  • Published:2021-04-19 Issue:4 Volume:31 Page:1803-1816
  • ISSN:0899-9457
  • Container-title:International Journal of Imaging Systems and Technology
  • language:en
  • Short-container-title:Int J Imaging Syst Technol

Author:

Latif Urva12,Shahid Ahmad R.12,Raza Basit12ORCID,Ziauddin Sheikh3,Khan Muazzam A.4

Affiliation:

1. Medical Imaging and Diagnostic Laboratory National Centre of Artificial Intelligence Islamabad Pakistan

2. Department of Computer Science COMSATS University Islamabad (CUI) Islamabad Pakistan

3. Department of Electrical and Computer Engineering Queen's University Kingston Ontario Canada

4. Department of Computer Science Quaid‐i‐Azam University Islamabad Pakistan

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Software,Electronic, Optical and Magnetic Materials

Reference54 articles.

1. Brain tumor segmentation with Deep Neural Networks

2. Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images

3. KayalibayB JensenG van derSmagtP.CNN‐based segmentation of medical imaging data.arXiv preprint arXiv:1701.03056; 2017.

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1. Brain tumor image segmentation method using hybrid attention module and improved mask RCNN;Scientific Reports;2024-09-04

2. Enhancing Brain Tumor MRI Segmentation Accuracy and Efficiency with Optimized U-Net Architecture;Malaysian Journal of Science and Advanced Technology;2024-06-02

3. Segmentation of Brain Tumor with Deep Learning Models;2024 Second International Conference on Data Science and Information System (ICDSIS);2024-05-17

4. A Review of Brain Tumor Segmentation Using MRIs from 2019 to 2023 (Statistical Information, Key Achievements, and Limitations);Journal of Medical and Biological Engineering;2024-04

5. Accelerating the Deep Learning based Brachial Plexus Nerve Trunks Recognition in Ultrasound Images using Edge Computing;2024 16th International Conference on Computer and Automation Engineering (ICCAE);2024-03-14
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