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Hybrid CNN and Low-Complexity Transformer Network with Attention-Based Feature Fusion for Predicting Lung Cancer Tumor After Neoadjuvant Chemoimmunotherapy

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成果类型:
会议论文
作者:
Zhou, Jiancun;Kuang, Hulin;Wang, Yahui;Wang, Jianxin
通讯作者:
Kuang, HL
作者机构:
[Kuang, Hulin; Kuang, HL; Wang, Yahui; Zhou, Jiancun; Wang, Jianxin] Cent South Univ, Sch Comp Sci & Engn, Hunan Prov Key Lab Bioinformat, Changsha, Hunan, Peoples R China.
[Zhou, Jiancun] Hunan City Univ, Coll Informat & Elect Engn, Yiyang, Hunan, Peoples R China.
通讯机构:
[Kuang, HL ] C
Cent South Univ, Sch Comp Sci & Engn, Hunan Prov Key Lab Bioinformat, Changsha, Hunan, Peoples R China.
语种:
英文
关键词:
Hybrid Network;Low-Complexity Self-Attention;Neoadjuvant Chemoimmunotherapy;Lung Cancer Tumor Prediction
期刊:
Lecture Notes in Computer Science
ISSN:
0302-9743
年:
2024
卷:
14954
页码:
408-417
会议名称:
20th International Symposium on Bioinformatics Research and Applications (ISBRA)
会议论文集名称:
Lecture Notes in Bioinformatics
会议时间:
JUL 19-21, 2024
会议地点:
Kunming, PEOPLES R CHINA
会议主办单位:
[Zhou, Jiancun;Kuang, Hulin;Wang, Yahui;Wang, Jianxin] Cent South Univ, Sch Comp Sci & Engn, Hunan Prov Key Lab Bioinformat, Changsha, Hunan, Peoples R China.^[Zhou, Jiancun] Hunan City Univ, Coll Informat & Elect Engn, Yiyang, Hunan, Peoples R China.
主编:
Peng, W Cai, Z Skums, P
出版地:
152 BEACH ROAD, #21-01/04 GATEWAY EAST, SINGAPORE, 189721, SINGAPORE
出版者:
SPRINGER-VERLAG SINGAPORE PTE LTD
ISBN:
978-981-97-5127-3; 978-981-97-5128-0
基金类别:
National Key Research and Development Program of China [2021YFF1201200]; Science and Technology Innovation Program of Hunan Province [2022RC1031]; Natural Science Foundation of Hunan Province [2023JJ50354]; High Performance Computing Center of Central South University
机构署名:
本校为其他机构
摘要:
Neoadjuvant chemoimmunotherapy is an effective treatment for lung cancer. Accurate prediction of lung cancer tumor after neoadjuvant chemoimmunotherapy from Computed tomography (CT) scans is of significance as it can enable clinicians to quickly select patients who will obtain good outcomes after treatments and evaluate patients' prognosis in advance. Therefore, this study proposes a new hybrid Convolutional Neural Network (CNN) and low-complexity Transformer network with attention-based feature fusion to achieve lung cancer tumor prediction after neoadjuvant chemoimmunotherapy on CT scans. In...

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