Interpretable Multi-Task Conditional Neural Networks Reveal Cancer Cell Adhesion Characteristics From Phonon Microscopy Images
(2025)
Journal Article
Zheng, Y., Fuentes-Dominguez, R., Goni, M. R., Clark, M., Gordon, G. S., & Perez-Cota, F. (2025). Interpretable Multi-Task Conditional Neural Networks Reveal Cancer Cell Adhesion Characteristics From Phonon Microscopy Images. IEEE Journal of Biomedical and Health Informatics, 1-11. https://doi.org/10.1109/jbhi.2025.3556599
Advances in artificial intelligence (AI) show significant promise in multiscale modeling and biomedical informatics, particularly in the analysis of phonon microscopy (high-frequency ultrasound) data for cancer detection. This study addresses critica... Read More about Interpretable Multi-Task Conditional Neural Networks Reveal Cancer Cell Adhesion Characteristics From Phonon Microscopy Images.