Morphology Predicts Grade, Transcriptomics Predicts Nodal Status: Task-Dependent Modality Contributions in Multimodal Prostate Cancer Classification
- DOI
- 10.3390/jimaging12090446
- Published
- 2026-09-15
- Container
- Journal of Imaging
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/jimaging12090446,
title = {Morphology Predicts Grade, Transcriptomics Predicts Nodal Status: Task-Dependent Modality Contributions in Multimodal Prostate Cancer Classification},
author = {Chae Eun Moon and Ho Jung Song and Yong Suk Kim},
year = {2026},
journal = {Journal of Imaging},
doi = {10.3390/jimaging12090446},
url = {https://doi.org/10.3390/jimaging12090446}
}RIS
TY - JOUR TI - Morphology Predicts Grade, Transcriptomics Predicts Nodal Status: Task-Dependent Modality Contributions in Multimodal Prostate Cancer Classification AU - Chae Eun Moon AU - Ho Jung Song AU - Yong Suk Kim PY - 2026 JO - Journal of Imaging DO - 10.3390/jimaging12090446 UR - https://doi.org/10.3390/jimaging12090446 ER -
APA
Moon, C. E., Song, H. J., & Kim, Y. S. (2026). Morphology Predicts Grade, Transcriptomics Predicts Nodal Status: Task-Dependent Modality Contributions in Multimodal Prostate Cancer Classification. Journal of Imaging. https://doi.org/10.3390/jimaging12090446
Source records
- crossref · retrieved 2026-09-25T04:45:19.643Z