RETRACTED: A BERT encoding with Recurrent Neural Network and Long-Short Term Memory for breast cancer image classification-Reference-Cited by-同舟云学术

RETRACTED: A BERT encoding with Recurrent Neural Network and Long-Short Term Memory for breast cancer image classification

Published:2023-03 Issue: Volume:6 Page:100177
ISSN:2772-6622
Container-title:Decision Analytics Journal
language:en
Short-container-title:Decision Analytics Journal

Author:

Chaudhury Sushovan^ORCID,Sau Kartik

Publisher

Elsevier BV

Subject

Modeling and Simulation,Applied Mathematics,Analysis,General Decision Sciences

Reference63 articles.

1. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries;Bray;Ca. Cancer J. Clin.,2018

2. A deep learning methodology for improved breast cancer diagnosis using multiparametric MRI;Hu;Sci. Rep.,2020

3. Spectral–spatial features integrated convolution neural network for breast cancer classification;Mewada;Sensors,2020

4. Computer-aided diagnosis of breast ultrasound images using ensemble learning from convolutional neural networks;Moon;Comput. Methods Programs Biomed.,2020

5. A new transfer learning based approach to magnification dependent and independent classification of breast cancer in histopathological images;Boumaraf;Biomed. Signal Process. Control,2021

Cited by 3 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. Recent ViT based models for Breast Cancer Histopathology Image Classification;2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT);2023-07-06

2. A Convolutional Neural Network Based Classification Approach for Breast Cancer Detection;2023 7th International Conference on Trends in Electronics and Informatics (ICOEI);2023-04-11

3. Deep transfer learning for IDC breast cancer detection using fast AI technique and Sqeezenet architecture;Mathematical Biosciences and Engineering;2023