A novel multimodal diagnostic framework integrating hyperspectral imaging and deep learning for predicting RET gene mutations in medullary thyroid carcinoma.

Yang Z, Su P, Zhang Y, Zheng H, Deng Y, Lin X, Ding C, Li W, Liang W, Lv B

Open source

DOI
10.1016/j.cmpb.2025.109207
Published
2026 Feb
Container
Computer methods and programs in biomedicine
Publisher
Not recorded
Open access
unknown

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BibTeX

@article{allodium:10.1016/j.cmpb.2025.109207,
  title = {A novel multimodal diagnostic framework integrating hyperspectral imaging and deep learning for predicting RET gene mutations in medullary thyroid carcinoma.},
  author = {Yang Z and Su P and Zhang Y and Zheng H and Deng Y and Lin X and Ding C and Li W and Liang W and Lv B},
  year = {2026},
  journal = {Computer methods and programs in biomedicine},
  doi = {10.1016/j.cmpb.2025.109207},
  url = {https://doi.org/10.1016/j.cmpb.2025.109207}
}

RIS

TY  - JOUR
TI  - A novel multimodal diagnostic framework integrating hyperspectral imaging and deep learning for predicting RET gene mutations in medullary thyroid carcinoma.
AU  - Yang Z
AU  - Su P
AU  - Zhang Y
AU  - Zheng H
AU  - Deng Y
AU  - Lin X
AU  - Ding C
AU  - Li W
AU  - Liang W
AU  - Lv B
PY  - 2026
JO  - Computer methods and programs in biomedicine
DO  - 10.1016/j.cmpb.2025.109207
UR  - https://doi.org/10.1016/j.cmpb.2025.109207
ER  - 

APA

Z, Y., P, S., Y, Z., H, Z., Y, D., X, L., C, D., W, L., W, L., & B, L. (2026). A novel multimodal diagnostic framework integrating hyperspectral imaging and deep learning for predicting RET gene mutations in medullary thyroid carcinoma.. Computer methods and programs in biomedicine. https://doi.org/10.1016/j.cmpb.2025.109207

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