Artificial Intelligence in the Management of Glioma: Era of Personalized Medicine
Purpose: Artificial intelligence (AI) has accelerated novel discoveries across multiple disciplines including medicine. Clinical medicine suffers from a lack of AI-based applications, potentially due to lack of awareness of AI methodology. Future collaboration between computer scientists and clinici...
Main Authors: | Houman Sotoudeh, Omid Shafaat, Joshua D. Bernstock, Michael David Brooks, Galal A. Elsayed, Jason A. Chen, Paul Szerip, Gustavo Chagoya, Florian Gessler, Ehsan Sotoudeh, Amir Shafaat, Gregory K. Friedman |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2019-08-01
|
Series: | Frontiers in Oncology |
Subjects: | |
Online Access: | https://www.frontiersin.org/article/10.3389/fonc.2019.00768/full |
Similar Items
- COMPARISON OF PRE-TRAINED CONVOLUTIONAL NEURAL NETWORK PERFORMANCE ON GLIOMA CLASSIFICATION
-
A methodological approach for deep learning to distinguish between meningiomas and gliomas on canine MR-images
by: Tommaso Banzato, et al.
Published: (2018-10-01) -
Differentiation of Glioma Mimicking Encephalitis and Encephalitis Using Multiparametric MR-Based Deep Learning
by: Wenli Wu, et al.
Published: (2021-03-01) -
Optical character recognition with neural networks
by: Aidarbek Shalakhmetov, et al.
Published: (2019-01-01) -
Classification of Diffuse Glioma Subtype from Clinical-Grade Pathological Images Using Deep Transfer Learning
by: Sanghyuk Im, et al.
Published: (2021-05-01)