RareCode: An Unsupervised Deep Learning Framework for Anomaly Detection in Colorectal Cancer Histopathological Images
- DOI
- 10.3791/72303
- Published
- 2026-09-22
- Container
- Journal of Visualized Experiments
- Publisher
- MyJove Corporation
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3791/72303,
title = {RareCode: An Unsupervised Deep Learning Framework for Anomaly Detection in Colorectal Cancer Histopathological Images},
author = {Liu Xiang and Huashun Li and Xuejia Zheng and Feng Zhu and Tianyuan Li and Yujie Zhang and Jie Song and Hongtao Jin and Yong Dai},
year = {2026},
journal = {Journal of Visualized Experiments},
doi = {10.3791/72303},
url = {https://doi.org/10.3791/72303}
}RIS
TY - JOUR TI - RareCode: An Unsupervised Deep Learning Framework for Anomaly Detection in Colorectal Cancer Histopathological Images AU - Liu Xiang AU - Huashun Li AU - Xuejia Zheng AU - Feng Zhu AU - Tianyuan Li AU - Yujie Zhang AU - Jie Song AU - Hongtao Jin AU - Yong Dai PY - 2026 JO - Journal of Visualized Experiments DO - 10.3791/72303 UR - https://doi.org/10.3791/72303 ER -
APA
Xiang, L., Li, H., Zheng, X., Zhu, F., Li, T., Zhang, Y., Song, J., Jin, H., & Dai, Y. (2026). RareCode: An Unsupervised Deep Learning Framework for Anomaly Detection in Colorectal Cancer Histopathological Images. Journal of Visualized Experiments. https://doi.org/10.3791/72303
Source records
- crossref · retrieved 2026-09-24T22:30:24.496Z