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

Journals >Laser & Optoelectronics Progress >Volume 57 >Issue 22 >Page 221021 > Article

Laser & Optoelectronics Progress
Vol. 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

Author Affiliations

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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DOI: 10.3788/LOP57.221021 Cite this Article Set citation alerts

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 Copy Citation Text

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