Fully Automatic Segmentation of Acute Ischemic Lesions on Diffusion-Weighted Imaging Using Convolutional Neural Networks: Comparison with Conventional Algorithms

OBJECTIVE: To develop algorithms using convolutional neural networks (CNNs) for automatic segmentation of acute ischemic lesions on diffusion-weighted imaging (DWI) and compare them with conventional algorithms, including a thresholding-based segmentation. MATERIALS AND METHODS: Between September 20...

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Detalles Bibliográficos
Autores principales: Woo, Ilsang, Lee, Areum, Jung, Seung Chai, Lee, Hyunna, Kim, Namkug, Cho, Se Jin, Kim, Donghyun, Lee, Jungbin, Sunwoo, Leonard, Kang, Dong-Wha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Society of Radiology 2019
Materias:
Neuroimaging and Head & Neck
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6658883/
https://www.ncbi.nlm.nih.gov/pubmed/31339015
http://dx.doi.org/10.3348/kjr.2018.0615

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6658883/
https://www.ncbi.nlm.nih.gov/pubmed/31339015
http://dx.doi.org/10.3348/kjr.2018.0615

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