ViT-DeiT: An Ensemble Model for Breast Cancer Histopathological Images Classification

Author:

Alotaibi Amira1,Alafif Tarik1,Alkhilaiwi Faris2,Alatawi Yasser3,Althobaiti Hassan1,Alrefaei Abdulmajeed4,Hawsawi Yousef5,Nguyen Tin6

Affiliation:

1. Umm Al-Qura University,Computer Science Department,Jamoum,Saudi Arabia

2. King Abdulaziz University,Natural Products and Alternative Medicine Department,Jeddah,Saudi Arabia

3. University of Tabuk,Pharmacy Practice Department,Tabuk,Saudi Arabia

4. Umm Al-Qura University,Biology Department,Jamoum,Saudi Arabia

5. Research Center King Faisal Specialist Hospital and Research Center,Jeddah,Saudi Arabia

6. University of Nevada,Computer Science and Engineering Department,Nevada,United State of America

Publisher

IEEE

Reference31 articles.

1. Training data-efficient image transformers & distillation through attention;touvron;International Conference on Machine Learning,2021

2. Attention is all you need;vaswani;Advances in neural information processing systems,2017

3. Research on the Detection Method of Breast Cancer Deep Convolutional Neural Network Based on Computer Aid

4. A Dataset for Breast Cancer Histopathological Image Classification

5. Supervised Machine Learning Approach For The Prediction of Breast Cancer

Cited by 1 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. Vision Transformers for Breast Cancer Histology Image Classification;Image Analysis and Processing - ICIAP 2023 Workshops;2024

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