Multimodal integration to identify the invasion status of lung adenocarcinoma intraoperatively

Multimodal integration to identify the invasion status of lung adenocarcinoma intraoperatively

Summary: Evaluating the invasiveness of lung adenocarcinoma is crucial for determining the appropriate surgical strategy, impacting postoperative outcomes. This study developed a multimodality model combining radiomics, intraoperative frozen section (FS) pathology, and clinical indicators to predict...

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Bibliographic Details
Main Authors: Xueyun Tan, Feng Pan, Na Zhan, Sufei Wang, Zegang Dong, Yan Li, Guanghai Yang, Bo Huang, Yanran Duan, Hui Xia, Yaqi Cao, Min Zhou, Zhilei Lv, Qi Huang, Shan Tian, Liang Zhang, Mengmeng Zhou, Lian Yang, Yang Jin
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:iScience
Subjects:
Oncology
Medical imaging
Artificial intelligence applications
Online Access:http://www.sciencedirect.com/science/article/pii/S2589004224026464
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