Multi-channel auto-encoders for learning domain invariant representations enabling superior classification of histopathology images.
- DOI
- 10.1016/j.media.2022.102640
- Published
- 2023 Jan
- Container
- Medical image analysis
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.media.2022.102640,
title = {Multi-channel auto-encoders for learning domain invariant representations enabling superior classification of histopathology images.},
author = {Moyes A and Gault R and Zhang K and Ming J and Crookes D and Wang J},
year = {2023},
journal = {Medical image analysis},
doi = {10.1016/j.media.2022.102640},
url = {https://doi.org/10.1016/j.media.2022.102640}
}RIS
TY - JOUR TI - Multi-channel auto-encoders for learning domain invariant representations enabling superior classification of histopathology images. AU - Moyes A AU - Gault R AU - Zhang K AU - Ming J AU - Crookes D AU - Wang J PY - 2023 JO - Medical image analysis DO - 10.1016/j.media.2022.102640 UR - https://doi.org/10.1016/j.media.2022.102640 ER -
APA
A, M., R, G., K, Z., J, M., D, C., & J, W. (2023). Multi-channel auto-encoders for learning domain invariant representations enabling superior classification of histopathology images.. Medical image analysis. https://doi.org/10.1016/j.media.2022.102640
Source records
- pubmed · retrieved 2026-09-26T05:46:32.170Z