Lesion Feature Extraction and Classification Optimization Method Using Dynamic Fusion of Global Attention and Local Attention-Reference-Cited by-同舟云学术

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Lesion Feature Extraction and Classification Optimization Method Using Dynamic Fusion of Global Attention and Local Attention

Published:2024-06-30 Issue: Volume: Page:1-7
ISSN:
Container-title:2024 International Joint Conference on Neural Networks (IJCNN)
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Author:

Cui Xueyao¹,Jiang Huiyan¹,Zhou Yang¹,Han Xianhua²,Li Xuena³,Pei Yan⁴

Affiliation:

1. Northeastern University,Software College,Shenyang,China,110819

2. Rikkyo University,Graduate School of Artificial Intelligence and Science,Tokyo,Japan,1718501

3. The First Affiliated Hospital of China Medical University,Department of Nuclear Medicine,Shenyang,China,110001

4. University of Aizu,Computer Science Division,Aizu-Wakamatsu,Japan,965-8580

Funder

Natural Science Foundation of Liaoning Province

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10649807/10649898/10651301.pdf?arnumber=10651301

Reference29 articles.

1. The World Health Organization Classification of Neoplastic Diseases of the Hematopoietic and Lymphoid Tissues

2. Accurate diagnosis of non-Hodgkin lymphoma on whole-slide images using deep learning

3. First manifestation of adult-onset Still's disease after COVID-19

4. Classification of Leukemia and Lymphoma using Faster R-CNN

5. Review of Feature Selection, Dimensionality Reduction and Classification for Chronic Disease Diagnosis

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