Segmenting Ischemic Penumbra and Infarct Core Simultaneously on Non-Contrast CT of Patients with Acute Ischemic Stroke Using Novel Convolutional Neural Network

Segmenting Ischemic Penumbra and Infarct Core Simultaneously on Non-Contrast CT of Patients with Acute Ischemic Stroke Using Novel Convolutional Neural Network

Differentiating between a salvageable Ischemic Penumbra (IP) and an irreversibly damaged Infarct Core (IC) is important for therapy decision making for acute ischemic stroke (AIS) patients. Existing methods rely on Computed Tomography Perfusion (CTP) or Diffusion-Weighted Imaging–Fluid Attenuated In...

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Bibliographic Details
Main Authors: Hulin Kuang, Xianzhen Tan, Jie Wang, Zhe Qu, Yuxin Cai, Qiong Chen, Beom Joon Kim, Wu Qiu
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Biomedicines
Subjects:
acute ischemic stroke
ischemic penumbra and ischemic core segmentation
non-contrast CT
multi-scale convolution
symmetry enhancement
hierarchical deep supervision
Online Access:https://www.mdpi.com/2227-9059/12/3/580

Internet

https://www.mdpi.com/2227-9059/12/3/580

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