Multiscale unsupervised domain adaptation for automatic pancreas segmentation in CT volumes using adversarial learning.
Sign Up to like & getrecommendations! Published in 2022 at "Medical physics"
DOI: 10.1002/mp.15827
Abstract: PURPOSE Computer-aided automatic pancreas segmentation is essential for early diagnosis and treatment of pancreatic diseases. However, the annotation of pancreas images requires professional doctors and considerable expenditure. Due to imaging differences among various institution population,… read more here.
Keywords: domain adaptation; segmentation model; domain; segmentation ... See more keywords
A Two-Phase Approach using Mask R-CNN and 3D U-Net for High-Accuracy Automatic Segmentation of Pancreas in CT Imaging
Sign Up to like & getrecommendations! Published in 2021 at "Computer methods and programs in biomedicine"
DOI: 10.1016/j.cmpb.2021.106141
Abstract: BACKGROUND AND OBJECTIVE The size, shape, and position of the pancreas are affected by the patient characteristics such as age, sex, adiposity. Owing to more complex anatomical structures (size, shape, and position) of the pancreas,… read more here.
Keywords: automatic pancreas; two phase; segmentation; pancreas segmentation ... See more keywords
UMRFormer-net: a three-dimensional U-shaped pancreas segmentation method based on a double-layer bridged transformer network
Sign Up to like & getrecommendations! Published in 2023 at "Quantitative Imaging in Medicine and Surgery"
DOI: 10.21037/qims-22-544
Abstract: Background Methods based on the combination of transformer and convolutional neural networks (CNNs) have achieved impressive results in the field of medical image segmentation. However, most of the recently proposed combination segmentation approaches simply treat… read more here.
Keywords: three dimensional; segmentation; umrformer net; transformer ... See more keywords