Multimodal Deep Learning for Prognosis Prediction in Renal Cancer

Multimodal Deep Learning for Prognosis Prediction in Renal Cancer

BackgroundClear-cell renal cell carcinoma (ccRCC) is common and associated with substantial mortality. TNM stage and histopathological grading have been the sole determinants of a patient’s prognosis for decades and there are few prognostic biomarkers used in clinical routine. Management of ccRCC in...

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Bibliographic Details
Main Authors: Stefan Schulz, Ann-Christin Woerl, Florian Jungmann, Christina Glasner, Philipp Stenzel, Stephanie Strobl, Aurélie Fernandez, Daniel-Christoph Wagner, Axel Haferkamp, Peter Mildenberger, Wilfried Roth, Sebastian Foersch
Format: article
Language:EN
Published: Frontiers Media S.A. 2021
Subjects:
artificial intelligence
deep learning
pathology
prognosis prediction
radiology
renal cancer
Neoplasms. Tumors. Oncology. Including cancer and carcinogens
RC254-282
Online Access:https://doaj.org/article/2470c3d4ce92456c804f41ad5dae9dc4
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https://doaj.org/article/2470c3d4ce92456c804f41ad5dae9dc4

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