Breast Cancer Histopathological Image Classification Based on Improved ResNeXt

Xuemeng Niu; Xiaoqi Lü; Yu Gu; Baohua Zhang; Ming Zhang; Guoyin Ren; Jing Li

doi:10.3788/LOP57.221021

Laser & Optoelectronics Progress, Volume. 57, Issue 22, 221021(2020)

Breast Cancer Histopathological Image Classification Based on Improved ResNeXt

Xuemeng Niu¹, Xiaoqi Lü^1,2、*, Yu Gu^1,3, Baohua Zhang¹, Ming Zhang^1,4, Guoyin Ren¹, and Jing Li¹

¹Key Laboratory of Pattern Recognition and Intelligent Image Processing, College of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia 0 14010, China

²Institute of Information Engineering, Inner Mongolia University of Technology, Hohhot, Inner Mongolia 0 10051, China

³College of Computer Engineering and Science, Shanghai University, Shanghai 200444, China

⁴College of Information Science and Technology, Dalian Maritime University, Dalian, Liaoning 116026, China

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Xuemeng Niu, Xiaoqi Lü, Yu Gu, Baohua Zhang, Ming Zhang, Guoyin Ren, Jing Li. Breast Cancer Histopathological Image Classification Based on Improved ResNeXt[J]. Laser & Optoelectronics Progress, 2020, 57(22): 221021

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Paper Information

Category: Image Processing

Received: Apr. 3, 2020

Accepted: Apr. 27, 2020

Published Online: Nov. 12, 2020

The Author Email: Lü Xiaoqi (lxiaoqi@imut.edu.cn)

DOI:10.3788/LOP57.221021

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology