Ischemic Stroke Lesion Segmentation Using Mutation Model and Generative Adversarial Network

Ischemic Stroke Lesion Segmentation Using Mutation Model and Generative Adversarial Network

Ischemic stroke lesion segmentation using different types of images, such as Computed Tomography Perfusion (CTP), is important for medical and Artificial intelligence fields. These images are potential resources to enhance machine learning and deep learning models. However, collecting these types of...

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Bibliographic Details
Main Authors: Rawan Ghnemat, Ashwaq Khalil, Qasem Abu Al-Haija
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Electronics
Subjects:
ischemic stroke lesion segmentation
generative adversarial network
synthetic dataset
mutation
Online Access:https://www.mdpi.com/2079-9292/12/3/590

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