Prediction of breast cancer metastasis by deep learning pathology

Author:

Lu Yuanyue1,Zhang Jun2,Liu Xueyu2,Zhang Zhihong3,Li Wangxing1,Zhou Xiaoshuang14,Li Rongshan14

Affiliation:

1. Shanxi Provincial People's Hospital The Fifth Clinical Medical College of Shanxi Medical University Taiyuan China

2. College of Data Science Taiyuan University of Technology Taiyuan China

3. College of Software Taiyuan University of Technology Taiyuan China

4. Shanxi Kidney Disease Institute Taiyuan China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. An Innovative Method to Predict Breast Cancer at Earlier Stage based on RAUNET Approach;2023 International Conference on Sustainable Communication Networks and Application (ICSCNA);2023-11-15

2. SaTransformer: Semantic‐aware transformer for breast cancer classification and segmentation;IET Image Processing;2023-08-07

3. A Systematic Study of Breast Cancer Detection by Using Algorithms of Machine Intelligence;Proceedings of Fourth Doctoral Symposium on Computational Intelligence;2023

4. Application of Deep Learning in Histopathology Images of Breast Cancer: A Review;Micromachines;2022-12-11

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