Automatic detection and segmentation of brain metastases on multimodal MR images with a deep convolutional neural network

Stereotactic treatments are today the reference techniques for the irradiation of brain metastases in radiotherapy. The dose per fraction is very high, and delivered in small volumes (diameter

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Bibliographic Details
Published in:Computers in biology and medicine 2018-04, Vol.95, p.43-54
Main Authors: Charron, Odelin, Lallement, Alex, Jarnet, Delphine, Noblet, Vincent, Clavier, Jean-Baptiste, Meyer, Philippe
Format: Article
Language:English
Subjects:
Artificial neural networks
Automation
Brain
Brain cancer
Brain metastases
Brain Neoplasms - diagnostic imaging
Brain Neoplasms - radiotherapy
Brain Neoplasms - secondary
Computer Science
Convolutional neural network
Detection
Female
Humans
Image detection
Image Processing
Image Processing, Computer-Assisted - methods
Image segmentation
Irradiation
Lesions
Magnetic Resonance Imaging
Male
Metastases
Metastasis
Neoplasm Metastasis
Neural networks
Neural Networks (Computer)
Patients
Radiation
Radiation dosage
Radiation therapy
Radiosurgery
Segmentation
Surgery
Toxicity
Tumors
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Description
Summary:Stereotactic treatments are today the reference techniques for the irradiation of brain metastases in radiotherapy. The dose per fraction is very high, and delivered in small volumes (diameter
ISSN:0010-4825
1879-0534
DOI:10.1016/j.compbiomed.2018.02.004