MM-DCNet: A Multi-Scale and Multi-MOdality Dynamic Convolutional Network for Lung Cancer Subtypes Classification-Reference-Cited by-同舟云学术

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MM-DCNet: A Multi-Scale and Multi-MOdality Dynamic Convolutional Network for Lung Cancer Subtypes Classification

Published:2024-05-27 Issue: Volume: Page:1-5
ISSN:
Container-title:2024 IEEE International Symposium on Biomedical Imaging (ISBI)
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Author:

Ma Gege¹,Jin Yuan¹,Lyu Tianling¹,Chen Geng²,Wu Zhuoxuan³,Zhao Jiaqi¹,Zhu Wentao¹

Affiliation:

1. Zhejiang Lab,Research Center for Frontier Fundamental Studies,Hangzhou,China

2. Northwestern Polytechnical University,School of Computer Science and Engineering,Xi’an,China

3. Sir Run Run Shaw Hospital, Affiliated With the Zhejiang University School of Medicine,Hangzhou,China

Funder

Research and Development

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10635099/10635102/10635717.pdf?arnumber=10635717

Reference14 articles.

1. Lung Cancer

2. Lung Cancer Pathology

3. The comparison between adenocarcinoma and squamous cell carcinoma in lung cancer patients

4. Treatment-by-Histology Interaction Analyses in Three Phase III Trials Show Superiority of Pemetrexed in Nonsquamous Non-small Cell Lung Cancer

5. Deep learning for lung cancer prognostication: A retrospective multi-cohort radiomics study

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