Detection of brain lesion location in MRI images using convolutional neural network and robust PCA

Author:

Ahmadi Mohsen1ORCID,Sharifi Abbas2ORCID,Jafarian Fard Mahta3,Soleimani Nastaran4

Affiliation:

1. Department of Industrial Engineering, Urmia University of Technology, Urmia, Iran

2. Department of Mechanical Engineering, Urmia University of Technology, Urmia, Iran

3. Department of Electrical Engineering, Islamic Azad University Science and Research, Razavi Khorasan, Iran

4. Department of Electronics and Telecommunications (DET), University of Politecnico di Torino, Turin, Italy

Publisher

Informa UK Limited

Subject

General Medicine,General Neuroscience

Reference35 articles.

1. CRF learning with CNN features for image segmentation

2. Cai Z , Vasconcelos N. Cascade R-CNN: High-Quality Object Detection and Instance Segmentation. arXiv preprint arXiv:1906.09756, 2019.

3. Fritscher K , Raudaschl P , Zaffino P , et al. Deep neural networks for fast segmentation of 3D medical images. In: International Conference on Medical Image Computing and Computer-Assisted Intervention, 2016. p. 158–165.

4. Benign and malignant breast tumors classification based on region growing and CNN segmentation

5. Bullock J , Cuesta-Lázaro C , and Quera-Bofarull A. XNet: a convolutional neural network (CNN) implementation for medical x-ray image segmentation suitable for small datasets. In: Medical Imaging 2019: Biomedical Applications in Molecular, Structural, and Functional Imaging, 2019. p. 109531Z.

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