Semi-supervised medical image segmentation via a tripled-uncertainty guided mean teacher model with contrastive learning
Due to the difficulty in accessing a large amount of labeled data, semi-supervised learning is
becoming an attractive solution in medical image segmentation. To make use of unlabeled …
becoming an attractive solution in medical image segmentation. To make use of unlabeled …
Boundary-preserving mask r-cnn
Tremendous efforts have been made to improve mask localization accuracy in instance
segmentation. Modern instance segmentation methods relying on fully convolutional …
segmentation. Modern instance segmentation methods relying on fully convolutional …
Levit-unet: Make faster encoders with transformer for medical image segmentation
Medical image segmentation plays an essential role in develo** computer-assisted
diagnosis and treatment systems, yet it still faces numerous challenges. In the past few …
diagnosis and treatment systems, yet it still faces numerous challenges. In the past few …
EANet: Iterative edge attention network for medical image segmentation
Accurate and automatic segmentation of medical images can greatly assist the clinical
diagnosis and analysis. However, it remains a challenging task due to (1) the diversity of …
diagnosis and analysis. However, it remains a challenging task due to (1) the diversity of …
BOMSC-Net: Boundary optimization and multi-scale context awareness based building extraction from high-resolution remote sensing imagery
Automatic building extraction from high-resolution remote sensing imagery has various
applications, such as urban planning and land use management. However, the existing …
applications, such as urban planning and land use management. However, the existing …
Boundary-rendering network for breast lesion segmentation in ultrasound images
Breast Ultrasound (BUS) has proven to be an effective tool for the early detection of cancer
in the breast. A lesion segmentation provides identification of the boundary, shape, and …
in the breast. A lesion segmentation provides identification of the boundary, shape, and …
Gt u-net: A u-net like group transformer network for tooth root segmentation
To achieve an accurate assessment of root canal therapy, a fundamental step is to perform
tooth root segmentation on oral X-ray images, in that the position of tooth root boundary is …
tooth root segmentation on oral X-ray images, in that the position of tooth root boundary is …