CLIP-based multimodal endorectal ultrasound enhances prediction of neoadjuvant chemoradiotherapy response in locally advanced rectal cancer
The CLIP-based predictive model using ERUS image-text features and LightGBM showed potential for improving personalized treatment strategies. However, this study is limited by its retrospective design and single-center data.
Authors
- H. Zhang
- Guangjian Liu (ORCID: https://orcid.org/0000-0001-5224-008X)
- Hang Yi (ORCID: https://orcid.org/0009-0003-8202-8321)
- Si Qin (ORCID: https://orcid.org/0000-0002-0863-9699)
- Xiaoyin Liu (ORCID: https://orcid.org/0000-0002-7026-1738)
Institutions
- Sun Yat-sen University (CN)
- Sixth Affiliated Hospital of Sun Yat-sen University (CN)
Publication Details
- Journal
- PLoS ONE
- Published
- 2024-12-11
- DOI
- https://doi.org/10.1371/journal.pone.0315339
- Citations
- 3
- Primary Topic
- Colorectal Cancer Surgical Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.85
Funders
- Innovative Research Group Project of the National Natural Science Foundation of China
- National Natural Science Foundation of China
- Sun Yat-sen University
- Basic and Applied Basic Research Foundation of Guangdong Province
- NIH Clinical Center