Magnetic Resonance Imaging Brain Tumor Image Segmentation Based on Improved U-Net

Haiwei Mu; Ying Guo; Xinghui Quan; Zhimin Cao; Jian Han

doi:10.3788/LOP202158.0410022

Laser & Optoelectronics Progress, Volume. 58, Issue 4, 0410022(2021)

Magnetic Resonance Imaging Brain Tumor Image Segmentation Based on Improved U-Net

Haiwei Mu^1,2, Ying Guo^1,2, Xinghui Quan^1,2、*, Zhimin Cao^1,2, and Jian Han^1,2

Author Affiliations

¹School of Physics and Electrical Engineering, Northeast Petroleum University, Daqing, Heilongjiang 163318, China

²Research and Development Center for Testing and Measurement Technology and Instrumentation, Heilongjiang Province Universities, Northeast Petroleum University, Daqing, Heilongjiang 163318, China

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Haiwei Mu, Ying Guo, Xinghui Quan, Zhimin Cao, Jian Han. Magnetic Resonance Imaging Brain Tumor Image Segmentation Based on Improved U-Net[J]. Laser & Optoelectronics Progress, 2021, 58(4): 0410022

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Paper Information

Category: Image Processing

Received: Jul. 17, 2020

Accepted: Aug. 13, 2020

Published Online: Feb. 24, 2021

The Author Email: Quan Xinghui (xinghui8@126.com)

DOI:10.3788/LOP202158.0410022

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology