Recently, two-dimensional (2D) and three-dimensional (3D) deep convolutional neural networks have become popular in medical image segmentation tasks because they can leverage large labeled datasets, thus enabling them to learn hierarchical features. However, 3D networks have some drawbacks due to ...
The abdomen defines a region of the body located between the thorax (or chest) and the pelvis. It is separated from the thorax at the diaphragm and the pelvis at the beginning of the pelvic bones. This region is also referred to as the belly. A labeled diagram of the abdomen and some...
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This domain faces three key challenges: the presence of partially labeled training data that can mislead model training, the variable morphologies of tumors complicating the segmentation process, and the computationally demanding nature of inference in whole/half-body CT scans. In our study, we ...
Researchers from Empa and ETH Zurich have developed a plaster with a sensor function to ensure that wounds in the abdomen remain tightly closed after an operation. Read more Buntan2019 Biofilms: Infection model from the 3D printer 21/06/2023 Researchers at the Helmholtz Institute for Pharma...
comparable to or smaller than the inter-user variation. It is also noted that the proposed SOARS may be also applied to other body sites, where anatomical structures are densely distributed with different levels of segmentation difficulty, e.g., many anatomical tissues in chest or abdomen regions...
Learning to segment multiple organs from partially labeled datasets can significantly reduce the burden of manual annotations. However, due to the large do... H Liu,D Wei,D Lu,... - International Conference on Medical Image Computing & Computer-assisted Intervention 被引量: 0发表: 2024年 A ...
However, the traditional fluorescently labeled tumor-specific molecular imaging agents are prone to be quickly metabolized by the liver and kidney, which results in high background signal in the short-range and low fluorescence intensity in the long-range for the tumors in metabolic organs (liver ...
To segment the liver region from the entire area of the CT/MRI image from the abdominal, we use labeling method to uniquely identify each region in the CT/MRI image of the abdomen and separate it from other regions based on the unique features of the region to be segmented [11]. In or...
FIG. 1 shows the distribution of the Cy5-labeled peptide LGAQSNF 48 hours after subcutaneous injection in an mdx mouse. The mouse is lying on its back, and the back paws and an area on the abdomen were first shaved because the hairs on the skin impair detection of the signal. A clear...