Inter-Slice Attention Transformer for Predicting Risk Level of Gastrointestinal Stromal Tumors-Reference-Cited by-同舟云学术

Inter-Slice Attention Transformer for Predicting Risk Level of Gastrointestinal Stromal Tumors

Published:2024-04-26 Issue: Volume:2022 Page:250-259
ISSN:
Container-title:Proceedings of the 2024 10th International Conference on Computing and Artificial Intelligence
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Author:

Hu PengDi¹^ORCID,Liu YanBei¹^ORCID,Li Yi²^ORCID,Zhang Fang¹^ORCID,Wu Jun¹^ORCID,Geng Lei¹^ORCID,Xiao ZhiTao¹^ORCID

Affiliation:

1. Tiangong University, China

2. Department of Radiology, Tianjin Medical University Cancer Institute and Hospital, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3669754.3669791

Reference35 articles.

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2. Liu X, Qiu H, Zhang P, Ki-67 labeling index may be a promising indicator to identify “very high-risk” gastrointestinal stromal tumor: a multicenter retrospective study of 1022 patients. Human Pathology, 2018, 74: 17-24.

3. Inoue A Ota S Sato S Nitta N Shimizu T Sonoda H Comparison of Characteristic Computed Tomographic Findings of Gastrointestinal and Non-Gastrointestinal Stromal Tumors in the Small Intestine. Abdom Radiol (NY) (2019) 44:1237–45. doi: 10.1007/s00261-018-1865-9

4. Chen Z Xu L Zhang C Huang C Wang M Feng Z CT Radiomics Model for Discriminating the Risk Stratification of Gastrointestinal Stromal Tumors: A Multi-Class Classification and Multi-Center Study. Front Oncol(2021) 11:654114. doi: 10.3389/fonc.2021.654114

5. Three-dimensional convolutional neural network (3D-CNN) for heterogeneous material homogenization