Classification of Pancreatic Cancer and Normal Tissue in 2D and 3D Optical Coherence Tomography Images Using Convolutional Neural Networks: A Comparative Study.
- DOI
- 10.3390/cancers18050732
- Published
- 2026 Feb 25
- Container
- Cancers
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/cancers18050732,
title = {Classification of Pancreatic Cancer and Normal Tissue in 2D and 3D Optical Coherence Tomography Images Using Convolutional Neural Networks: A Comparative Study.},
author = {Druzenko M and Westerheide B and Girmen C and König N and Schmitt R and Warkentin S and Jöchle K and Cammann S and Wiltberger G and von Websky MW and Vogel T and Vondran FWR and Amygdalos I},
year = {2026},
journal = {Cancers},
doi = {10.3390/cancers18050732},
url = {https://doi.org/10.3390/cancers18050732}
}RIS
TY - JOUR TI - Classification of Pancreatic Cancer and Normal Tissue in 2D and 3D Optical Coherence Tomography Images Using Convolutional Neural Networks: A Comparative Study. AU - Druzenko M AU - Westerheide B AU - Girmen C AU - König N AU - Schmitt R AU - Warkentin S AU - Jöchle K AU - Cammann S AU - Wiltberger G AU - von Websky MW AU - Vogel T AU - Vondran FWR AU - Amygdalos I PY - 2026 JO - Cancers DO - 10.3390/cancers18050732 UR - https://doi.org/10.3390/cancers18050732 ER -
APA
M, D., B, W., C, G., N, K., R, S., S, W., K, J., S, C., G, W., MW, V. W., T, V., FWR, V., & I, A. (2026). Classification of Pancreatic Cancer and Normal Tissue in 2D and 3D Optical Coherence Tomography Images Using Convolutional Neural Networks: A Comparative Study.. Cancers. https://doi.org/10.3390/cancers18050732
Source records
- pubmed · retrieved 2026-09-25T22:16:23.799Z
- europe-pmc · retrieved 2026-09-25T22:16:23.811Z