Enhanced Ischemic Stroke Lesion Segmentation in MRI Using Attention U-Net with Generalized Dice Focal Loss

Enhanced Ischemic Stroke Lesion Segmentation in MRI Using Attention U-Net with Generalized Dice Focal Loss

Ischemic stroke lesion segmentation in MRI images represents significant challenges, particularly due to class imbalance between foreground and background pixels. Several approaches have been developed to achieve higher F1-Scores in stroke lesion segmentation under this challenge. These strategies i...

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Bibliographic Details
Main Authors: Beatriz P. Garcia-Salgado, Jose A. Almaraz-Damian, Oscar Cervantes-Chavarria, Volodymyr Ponomaryov, Rogelio Reyes-Reyes, Clara Cruz-Ramos, Sergiy Sadovnychiy
Format: Article
Language:English
Published: MDPI AG 2024-09-01
Series:Applied Sciences
Subjects:
ischemic stroke segmentation
MRI segmentation
attention U-Net
Generalized Dice Focal loss
Online Access:https://www.mdpi.com/2076-3417/14/18/8183
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