Spark Architecture for deep learning-based dose optimization in medical imaging

Spark Architecture for deep learning-based dose optimization in medical imaging

Background and objectives: Deep Learning (DL) and Machine Learning (ML) have brought several breakthroughs to biomedical image analysis by making available more consistent and robust tools for the identification, classification, reconstruction, denoising, quantification, and segmentation of patterns...

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Bibliographic Details
Main Authors: Clémence Alla Takam, Odette Samba, Aurelle Tchagna Kouanou, Daniel Tchiotsop
Format: Article
Language:English
Published: Elsevier 2020-01-01
Series:Informatics in Medicine Unlocked
Subjects:
Computer tomography scan image
Deep learning
Spark framework
Architecture
Low dose optimization
Online Access:http://www.sciencedirect.com/science/article/pii/S235291481930423X

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