Multimodal separation and cross fusion network based on Raman spectroscopy and FTIR spectroscopy for diagnosis of thyroid malignant tumor metastasis
Haitao Song, Xuguang Zhou, Cheng Chen, Chao Dong, Yuyang He, Mingtao Wu, Jun Yu, Xiangnan Chen, Yanpeng Li, Binlin Ma · 2024
Read Multimodal separation and cross fusion network based on Raman spectroscopy and FTIR spectroscopy for diagnosis of thyroid malignant tumor metastasis by Haitao Song, Xuguang Zhou, Cheng Chen, Chao Dong, Yuyang He, Mingtao Wu, Jun Yu, Xiangnan Chen, Yanpeng Li, Binlin Ma (2024) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-11586440.txt.
Description
Haitao Song and co-authors built a computer method to spot thyroid cancer spread in a 2024 study. Spread to neck lymph nodes shapes a patient's outlook, yet scans can miss it. Light-based tests that read a sample's molecular makeup are quick and sharp, and using two such tests together may do better.
Their network splits and then merges features from both light tests, learning links within and across the two data types. On blood samples from 99 cases, one test alone scored about 64 percent accuracy, the other about 96 percent. Merged, the pair reached about 98 percent, beating prior methods the authors compared.
Catalog record
| CREATOR | Haitao Song, Xuguang Zhou, Cheng Chen, Chao Dong, Yuyang He, Mingtao Wu, Jun Yu, Xiangnan Chen, Yanpeng Li, Binlin Ma |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 78 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |