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Publication | Open Access

Deep learning for diagnosis and survival prediction in soft tissue sarcoma

115

Citations

28

References

2021

Year

Abstract

DL can be used to accurately diagnose frequent subtypes of STS from conventional histopathological slides. It might be used for prognosis prediction in LMS, the most prevalent STS subtype in our cohort. It can also help pathologists to make faster and more accurate diagnoses. This could substantially improve the clinical management of STS patients.

References

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