Emergence of Convolutional Neural Network in Future Medicine: Why and How. a Review on Brain Tumor Segmentation

Emergence of Convolutional Neural Network in Future Medicine: Why and How. a Review on Brain Tumor Segmentation Publisher

Alizadeh Savareh B¹ ; Emami H² ; Hajiabadi M^{3, 4} ; Ghafoori M⁵ ; Majid Azimi S⁶

Show Affiliations

1. School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
2. Health Information Technology and Management Department, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
3. Brain and Spinal Cord Injury Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran
4. Department of Neurosurgery, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran
5. Department of Radiology, Hazrat Rasoul Akram Hospital, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
6. Department of Remote Sensing Technology, Technical University of Munich, Germany

Source: Polish Journal of Medical Physics and Engineering Published:2018

Abstract

Manual analysis of brain tumors magnetic resonance images is usually accompanied by some problem. Several techniques have been proposed for the brain tumor segmentation. This study will be focused on searching popular databases for related studies, theoretical and practical aspects of Convolutional Neural Network surveyed in brain tumor segmentation. Based on our findings, details about related studies including the datasets used, evaluation parameters, preferred architectures and complementary steps analyzed. Deep learning as a revolutionary idea in image processing, achieved brilliant results in brain tumor segmentation too. This can be continuing until the next revolutionary idea emerging. © 2018 Behrouz Alizadeh Savareh et al., published by De Gruyter Open.

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Mostafa Farzin (1)

Style	Citing Format
MLA	Alizadeh Savareh B, et al.. "Emergence of Convolutional Neural Network in Future Medicine: Why and How. a Review on Brain Tumor Segmentation." Polish Journal of Medical Physics and Engineering, vol. 24, no. 1, 2018, pp. 43-53.
APA	Alizadeh Savareh B, Emami H, Hajiabadi M, Ghafoori M, Majid Azimi S (2018). Emergence of Convolutional Neural Network in Future Medicine: Why and How. a Review on Brain Tumor Segmentation. Polish Journal of Medical Physics and Engineering, 24(1), 43-53.
Chicago	Alizadeh Savareh B, Emami H, Hajiabadi M, Ghafoori M, Majid Azimi S. "Emergence of Convolutional Neural Network in Future Medicine: Why and How. a Review on Brain Tumor Segmentation." Polish Journal of Medical Physics and Engineering 24, no. 1 (2018): 43-53.
Harvard	Alizadeh Savareh B et al. (2018) 'Emergence of Convolutional Neural Network in Future Medicine: Why and How. a Review on Brain Tumor Segmentation', Polish Journal of Medical Physics and Engineering, 24(1), pp. 43-53.
Vancouver	Alizadeh Savareh B, Emami H, Hajiabadi M, Ghafoori M, Majid Azimi S. Emergence of Convolutional Neural Network in Future Medicine: Why and How. a Review on Brain Tumor Segmentation. Polish Journal of Medical Physics and Engineering. 2018;24(1):43-53.
BibTex	@article{ author = {Alizadeh Savareh B and Emami H and Hajiabadi M and Ghafoori M and Majid Azimi S}, title = {Emergence of Convolutional Neural Network in Future Medicine: Why and How. a Review on Brain Tumor Segmentation}, journal = {Polish Journal of Medical Physics and Engineering}, volume = {24}, number = {1}, pages = {43-53}, year = {2018} }
RIS	TY - JOUR AU - Alizadeh Savareh B AU - Emami H AU - Hajiabadi M AU - Ghafoori M AU - Majid Azimi S TI - Emergence of Convolutional Neural Network in Future Medicine: Why and How. a Review on Brain Tumor Segmentation JO - Polish Journal of Medical Physics and Engineering VL - 24 IS - 1 SP - 43 EP - 53 PY - 2018 ER -

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