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

Stepec, D.; Skocaj, D.;
Open Access English
  • Publisher: Zenodo
Abstract
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 diversity and complexity. Recently presented approaches for unsupervised detection of visual anomalies approaches omit the need for labeled data and demonstrate promising res...
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Funded by
EC| iPC
Project
iPC
individualizedPaediatricCure: Cloud-based virtual-patient models for precision paediatric oncology
  • Funder: European Commission (EC)
  • Project Code: 826121
  • Funding stream: H2020
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ZENODO
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Provider: ZENODO
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