Application of artificial intelligence based on deep learning in breast cancer screening and imaging diagnosis

In recent years, with the change of lifestyle in Europe and America, the incidence of breast cancer in Chinese women is increasing. In order to find the model of breast cancer image screening and diagnosis with higher accuracy and better classification performance, this paper mainly constructs the b...

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Bibliographic Details
Published in:Neural computing & applications 2021-08, Vol.33 (15), p.9637-9647
Main Authors: Wang, Yang, Yang, Fuqian, Zhang, Jun, Wang, Huidong, Yue, Xianwen, Liu, Shanshan
Format: Article
Language:English
Subjects:
Algorithms
Artificial Intelligence
Artificial neural networks
Breast cancer
Clustering
Computational Biology/Bioinformatics
Computational Science and Engineering
Computed tomography
Computer Science
Convolution
Data Mining and Knowledge Discovery
Deep learning
Diagnosis
Image classification
Image detection
Image Processing and Computer Vision
Machine learning
Medical imaging
Medical research
Medical screening
Neural networks
Original Article
Probability and Statistics in Computer Science
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Summary:In recent years, with the change of lifestyle in Europe and America, the incidence of breast cancer in Chinese women is increasing. In order to find the model of breast cancer image screening and diagnosis with higher accuracy and better classification performance, this paper mainly constructs the breast cancer CT image detection model and the breast cancer screening model based on the convolution and deconvolution neural network (CDNN) through the convolution neural network (CNN). In this paper, the fuzzy C-means clustering algorithm (FCM) is used to improve and optimize the image of breast cancer, and the experimental results are analyzed. The optimized kernel fuzzy C-means clustering algorithm was tested on a common dataset to segment the region of interest more accurately. Our experiments show that the new deep learning model of this paper improves the automatic classification performance of breast cancer. In this paper, the research results of deep learning are applied to the medical field, and a new method based on CNN model for breast cancer screening and diagnosis is proposed, which provides a new idea for improving the artificial intelligence assisted medical diagnosis method.
ISSN:0941-0643
1433-3058
DOI:10.1007/s00521-021-05728-x