Transformer Skip‐Fusion Based SwinUNet for Liver Segmentation From CT Images

• Published in: International journal of imaging systems and technology Vol. 34; no. 4
• Main Authors: Kumar, S. S., Vinod Kumar, R. S.
• Format: Journal Article
• Language: English
• Published: Hoboken, USA John Wiley & Sons, Inc 01.07.2024; Wiley Subscription Services, Inc
• Subjects: Computed tomography; Datasets; deep learning; Feature maps; Harnesses; Image analysis; Image segmentation; Liver; liver segmentation; Medical imaging; Swin Transformer; Transformers

ABSTRACT Liver segmentation is a crucial step in medical image analysis and is essential for diagnosing and treating liver diseases. However, manual segmentation is time‐consuming and subject to variability among observers. To address these challenges, a novel liver segmentation approach, SwinUNet w...