iaksit / deepmsweb

A Web-Based Decision Support System via Deep Learning for Automatic Detection of MS Lesions

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DeepMSWeb

A Web-Based Decision Support System via Deep Learning for Automatic Detection of MS Lesions

deepMSweb.mp4

Introduction

This reposity a Flask application for detection of MS lession with Mask R-CNN

block diagram

And this application three services

services

Background

The application include improved matterport-maskrcnn

How To Use

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Citing Improved Mask R-CNN

@article{yildirim2020automatic,
  title={Automatic detection of multiple sclerosis lesions using Mask R-CNN on magnetic resonance scans},
  author={Y{\i}ld{\i}r{\i}m, Mehmet S{\"u}leyman and Dand{\i}l, Emre},
  journal={IET Image Processing},
  volume={14},
  number={16},
  pages={4277--4290},
  year={2020},
  publisher={IET}
}
@inproceedings{yildirim2021automated,
  title={Automated Multiple Sclerosis Lesion Segmentation on MR Images via Mask R-CNN},
  author={Y{\i}ld{\i}r{\i}m, Mehmet S{\"u}leyman and Dand{\i}l, Emre},
  booktitle={2021 5th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)},
  pages={570--577},
  year={2021},
  organization={IEEE}
}

Citing DeepMSWeb

@inproceedings{9672360,
  author={Yildirim, Mehmet Süleyman and Dandil, Emre},
  booktitle={2021 2nd International Informatics and Software Engineering Conference (IISEC)}, 
  title={DeepMSWeb: A Web-Based Decision Support System via Deep Learning for Automatic Detection of MS Lesions}, 
  year={2021},
  volume={},
  number={},
  pages={1-6},
  doi={10.1109/IISEC54230.2021.9672360}}

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A Web-Based Decision Support System via Deep Learning for Automatic Detection of MS Lesions


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