激光与光电子学进展, 2020, 57 (22): 221021, 网络出版: 2020-11-12   

基于改进ResNeXt的乳腺癌组织病理学图像分类 下载: 1049次

Breast Cancer Histopathological Image Classification Based on Improved ResNeXt
作者单位
1 内蒙古科技大学信息工程学院模式识别与智能图像处理重点实验室, 内蒙古 包头 014010
2 内蒙古工业大学信息工程学院, 内蒙古 呼和浩特 010051
3 上海大学计算机工程与科学学院, 上海 200444
4 大连海事大学信息科学技术学院, 辽宁 大连 116026
引用该论文

牛学猛, 吕晓琪, 谷宇, 张宝华, 张明, 任国印, 李菁. 基于改进ResNeXt的乳腺癌组织病理学图像分类[J]. 激光与光电子学进展, 2020, 57(22): 221021.

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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牛学猛, 吕晓琪, 谷宇, 张宝华, 张明, 任国印, 李菁. 基于改进ResNeXt的乳腺癌组织病理学图像分类[J]. 激光与光电子学进展, 2020, 57(22): 221021. 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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