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:doi:10.1142/s1793545818500141

Journal of Innovative Optical Health Sciences, 2018, 11 (4): 1850014, Published Online: Oct. 6, 2018

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

Le Sun ^1,*Jinyuan He ²Xiaoxia Yin ²Yanchun Zhang ²Jeon-Hor Chen ^3,4Tomas Kron ⁵Min-Ying Su ³

Author Affiliations

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

² Center for Applied Informatics Victoria University, Australia

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

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

⁵ Peter MacCallum Cancer Centre, Australia

Basic Information

DOI:	10.1142/s1793545818500141
中图分类号:	--
栏目:
项目基金:	This paper is supported by the National Natural Science Foundation of China (Grants No 61702274) and the Natural Science Foundation of Jiangsu Province (Grants No BK20170958).
收稿日期:	Dec. 5, 2017
修改稿日期:	--
网络出版日期:	Oct. 6, 2018
通讯作者:	Le Sun (sunle2009@gmail.com)
备注:	--

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.

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

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