Unsupervised Detection of Cancerous Regions in Histology Imagery using Image-to-Image Translation

@article{tepec2021UnsupervisedDO,
  title={Unsupervised Detection of Cancerous Regions in Histology Imagery using Image-to-Image Translation},
  author={Dejan {\vS}tepec and Danijel Sko{\vc}aj},
  journal={2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)},
  year={2021},
  pages={3780-3787}
}
  • Dejan Štepec, D. Skočaj
  • Published 2021
  • Computer Science, Engineering
  • 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Detection of visual anomalies refers to the problem of finding patterns in different imaging data that do not conform to the expected visual appearance and is a widely studied problem in different domains. Due to the nature of anomaly occurrences and underlying generating processes, it is hard to characterize them and obtain labeled data. Obtaining labeled data is especially difficult in biomedical applications, where only trained domain experts can provide labels, which often come in large… Expand
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