A Novel Approach for Breast Tumor MRI Classification: Vision Transformers and Majority Integration-Reference-Cited by-同舟云学术

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A Novel Approach for Breast Tumor MRI Classification: Vision Transformers and Majority Integration

Published:2024-06-09 Issue: Volume: Page:226-231
ISSN:
Container-title:ICC 2024 - IEEE International Conference on Communications
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Author:

Xue Junpei¹,Zhou Leilei²,Chen Yuchen²,Zheng Jin-Xia³,Liu Jiang¹

Affiliation:

1. Waseda University,Department of Computer Science and Communications Engineering,Tokyo,Japan

2. Nanjing First Hospital, Nanjing Medical University,Department of Radiology,Nanjing,China

3. Women's Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital,Department of Radiology,Nanjing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10622104/10622158/10622388.pdf?arnumber=10622388

Reference20 articles.

1. Cancer statistics, 2022

2. Progress of Breast Cancer basic research in China

3. Breast Tumor Classification Using an Ensemble Machine Learning Method

4. Automated Breast Mass Classification System Using Deep Learning and Ensemble Learning in Digital Mammogram

5. Benign and Malignant Breast Tumor Classification in Ultrasound and Mammography Images via Fusion of Deep Learning and Handcraft Features

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