CTUNet: automatic pancreas segmentation using a channel-wise transformer and 3D U-Net

• Published in: The Visual computer Vol. 39; no. 11; pp. 5229 - 5243
• Main Authors: Chen, Lifang, Wan, Li
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.11.2023; Springer Nature B.V
• Subjects: Abdomen; Artificial Intelligence; Computer Graphics; Computer Science; Datasets; Image Processing and Computer Vision; Image segmentation; Medical imaging; Medical research; Methods; Modules; Natural language processing; Neural networks; Original Article; Pancreas; Success; Transformers; Deep learning; Auto pancreas segmentation; 3D channel transformer; 3D U-Net

Diabetes, pancreatic cancer, and pancreatitis are all diseases of the pancreas, which seriously threaten people’s lives. The pancreas has a special anatomical structure, its size, shape, and position are variable, and it is highly similar to other surrounding deep abdominal tissues, so achieving acc...