An image segmentation framework for extracting tumors from breast magnetic resonance images

Le Sun; Jinyuan He; Xiaoxia Yin; Yanchun Zhang; Jeon-Hor Chen; Tomas Kron; Min-Ying Su

doi:10.1142/s1793545818500141

Journal of Innovative Optical Health Sciences, Volume. 11, Issue 4, 1850014(2018)

An image segmentation framework for extracting tumors from breast magnetic resonance images

Le Sun1,*... Jinyuan He2, Xiaoxia Yin2, Yanchun Zhang2, Jeon-Hor Chen3,4, Tomas Kron5 and Min-Ying Su3 |Show fewer author(s)

Author Affiliations

¹School of Computer and Software, Nanjing University of Information Science and Technology, P. R. China

²Center for Applied Informatics Victoria University, Australia

³Center for Functional Onco-Imaging of the Department of Radiological Sciences, University of California Irvine, USA

⁴Department of Radiology E-Da Hospital and I-Shou University, Kaohsiung, Taiwan

⁵Peter MacCallum Cancer Centre, Australia

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Le Sun, Jinyuan He, Xiaoxia Yin, Yanchun Zhang, Jeon-Hor Chen, Tomas Kron, Min-Ying Su. An image segmentation framework for extracting tumors from breast magnetic resonance images[J]. Journal of Innovative Optical Health Sciences, 2018, 11(4): 1850014

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Paper Information

Received: Dec. 5, 2017

Accepted: Jan. 14, 2018

Published Online: Oct. 6, 2018

The Author Email: Sun Le (sunle2009@gmail.com)

DOI:10.1142/s1793545818500141

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology

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