Automated Description Generation of Cytologic Findings for Lung Cytological Images Using a Pretrained Vision Model and Dual Text Decoders: Preliminary Study
Experimental results indicate that the proposed method is useful for pulmonary cytology classification and generation of cytologic findings.
Authors
- Tetsuya Tsukamoto (ORCID: https://orcid.org/0000-0002-7502-8724)
- Hiroshi Fujita (ORCID: https://orcid.org/0000-0002-2936-9296)
- Atsushi Teramoto (ORCID: https://orcid.org/0000-0001-7613-5348)
- Kazuyoshi Imaizumi (ORCID: https://orcid.org/0000-0002-3790-8691)
- Ayano Michiba
- Yuka Kiriyama
Institutions
- Memorial Sloan Kettering Cancer Center (US)
- Fujita Health University (JP)
- Gifu University (JP)
- Meijo University (JP)
Publication Details
- Journal
- Cytopathology
- Published
- 2025-02-07
- DOI
- https://doi.org/10.1111/cyt.13474
- Citations
- 4
- Primary Topic
- Topic Modeling
- Type
- article
- Field-Weighted Citation Impact
- 9.92
Funders
- Ministry of Education, Culture, Sports, Science and Technology