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Integrating pathomics with radiomics and genomics for cancer prognosis: A brief review

2021·63 Zitationen·Chinese Journal of Cancer ResearchOpen Access
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63

Zitationen

3

Autoren

2021

Jahr

Abstract

In the last decade, the focus of computational pathology research community has shifted from replicating the pathological examination for diagnosis done by pathologists to unlocking and discovering "sub-visual" prognostic image cues from the histopathological image. While we are getting more knowledge and experience in digital pathology, the emerging goal is to integrate other-omics or modalities that will contribute for building a better prognostic assay. In this paper, we provide a brief review of representative works that focus on integrating pathomics with radiomics and genomics for cancer prognosis. It includes: correlation of pathomics and genomics; fusion of pathomics and genomics; fusion of pathomics and radiomics. We also present challenges, potential opportunities, and avenues for future work.

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Autoren

Institutionen

Themen

Radiomics and Machine Learning in Medical ImagingAI in cancer detectionCancer Genomics and Diagnostics
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