Association of genomic subtypes of lower-grade gliomas with shape features automatically extracted by a deep learning algorithm

Author:

Buda MateuszORCID,Saha Ashirbani,Mazurowski Maciej A.

Funder

National Cancer Institute

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference37 articles.

1. Integrative genomic analysis of diffuse lower-grade gliomas;C.G.A.R. Network, others, Comprehensive;N. Engl. J. Med.,2015

2. Genomic profiling of lower-grade gliomas uncovers cohesive disease groups: implications for diagnosis and treatment;Zhang;Chin. J. Canc.,2016

3. Glioma groups based on 1p/19q, IDH, and TERT promoter mutations in tumors;Eckel-Passow;N. Engl. J. Med.,2015

4. Radiogenomics: what it is and why it is important;Mazurowski;J. Am. Coll. Radiol.,2015

5. Radiogenomic analysis of lower grade glioma: a pilot multi-institutional study shows an association between quantitative image features and tumor genomics;Mazurowski;Proc. SPIE,2017

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