Advanced pathological subtype classification of thyroid cancer using efficientNetB0
The research establishes the effectiveness of the EfficientNetB0 model in identifying thyroid cancer subtypes and analyzing tumor microenvironment features, providing insights for precise diagnosis and personalized treatment. The results enhance our understanding of the relationship between microenvironment characteristics and pathological subtypes, offering potential molecular targets for future treatment strategies.
Authors
- Hongpeng Guo (ORCID: https://orcid.org/0000-0003-0625-8929)
- Junjie Zhang (ORCID: https://orcid.org/0000-0003-3812-3850)
- Chenglin Sun (ORCID: https://orcid.org/0009-0009-3577-2119)
- You Li (ORCID: https://orcid.org/0000-0001-8758-0770)
- Xinghe Pan
Institutions
- Shenyang Medical College (CN)
- Central Hospital Affiliated to Shenyang Medical College (CN)
Publication Details
- Journal
- Diagnostic Pathology
- Published
- 2025-03-07
- DOI
- https://doi.org/10.1186/s13000-025-01621-6
- Citations
- 2
- Primary Topic
- AI in cancer detection
- Type
- article
- Field-Weighted Citation Impact
- 4.96