Video-based AI module with raw-scale and ROI-scale information for thyroid nodule diagnosis
Integrating a dual-stream model with additional ROI scale information and the time dimensional convolution layer can improve performance in diagnosing thyroid ultrasound videos.
Authors
- Jinfeng Xu (ORCID: https://orcid.org/0000-0001-5380-4625)
- Fajin Dong (ORCID: https://orcid.org/0000-0002-4558-4885)
- Youhuan Su
- Nan Xu (ORCID: https://orcid.org/0000-0001-9520-7466)
- Keen Yang
- Siyuan Shi
- Yitao Jiang
- Linghu Wu (ORCID: https://orcid.org/0000-0001-6180-0819)
- Mengmeng Liu (ORCID: https://orcid.org/0000-0002-7072-3218)
- Song Bai (ORCID: https://orcid.org/0000-0002-2570-9118)
- Yuli Zhou
- Chen Cui (ORCID: https://orcid.org/0000-0002-8996-6623)
- Sijing Huang
- Xing-zhao LAI (ORCID: https://orcid.org/0009-0003-4384-9784)
Institutions
- Southern University of Science and Technology (CN)
- Southern Medical University Shenzhen Hospital (CN)
- Shenzhen Second People's Hospital (CN)
Publication Details
- Journal
- Heliyon
- Published
- 2024-09-19
- DOI
- https://doi.org/10.1016/j.heliyon.2024.e37924
- Citations
- 2
- Primary Topic
- AI in cancer detection
- Type
- article
- Field-Weighted Citation Impact
- 0.69