Investigating Useful Features for Overall Survival Prediction in Patients with Low-Grade Glioma Using Histology Slides-Reference-Cited by-同舟云学术

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Investigating Useful Features for Overall Survival Prediction in Patients with Low-Grade Glioma Using Histology Slides

Published:2022-07-11 Issue: Volume: Page:
ISSN:
Container-title:2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
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Author:

Warner Elisa¹,Li Xuelu²,Rao Ganesh³,Huse Jason⁴,Traylor Jeffrey⁵,Ravikumar Visweswaran¹,Monga Vishal²,Rao Arvind¹

Affiliation:

1. University of Michigan,Department of Computational Medicine and Bioinformatics,Ann Arbor

2. Amazon,Seattle,WA

3. Baylor College of Medicine,Department of Neurosurgery,Houston,TX

4. MD Anderson Cancer Center,Department of Pathology,Houston,TX

5. University of Texas Southwestern Medical Center,Department of Neurological Surgery,Dallas,TX

Funder

NIH

American Cancer Society

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9870821/9870822/09871027.pdf?arnumber=9871027

Reference9 articles.

1. Survival Prediction in Gliomas: Current State and Novel Approaches

2. Combining MRI and Histologic Imaging Features for Predicting Overall Survival in Patients with Glioma

3. WHO 2016 Classification of gliomas

4. Hematoxylin and Eosin Staining of Tissue and Cell Sections

5. Farewell to oligoastrocytoma: in situ molecular genetics favor classification as either oligodendroglioma or astrocytoma

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