Results 81 to 90 of about 170,175 (308)
Medical Image Segmentation by Water Flow [PDF]
We present a new image segmentation technique based on the paradigm of water flow and apply it to medical images. The force field analogy is used to implement the major water flow attributes like water pressure, surface tension and adhesion so that the ...
Nixon, Mark, Liu, Xin
core
Geodesic Information Flows: Spatially-Variant Graphs and Their Application to Segmentation and Fusion [PDF]
Clinical annotations, such as voxel-wise binary or probabilistic tissue segmentations, structural parcellations, pathological regionsof- interest and anatomical landmarks are key to many clinical studies.
Melbourne, A +13 more
core +1 more source
Improved Multistage Edge-Enhanced Medical Image Segmentation Network of U-Net [PDF]
Medical image segmentation accuracy plays a key role in clinical diagnosis and treatment. However, because of the complexity of medical images and diversity of target regions, existing medical image segmentation methods are limited to incomplete edge ...
HU Shuai, LI Hualing, HAO Dechen
doaj +1 more source
ABSTRACT Background Maintenance hemodialysis (MHD) patients frequently suffer from frailty, characterized by reduced physical function and poor prognosis. Myokines, such as myonectin, secreted by muscle, are emerging regulators of systemic health. This study investigated the relationship between serum myonectin, adipokines (adiponectin, omentin), and ...
Kenichi Kono +7 more
wiley +1 more source
A novel framework for segmentation of small targets in medical images
Medical image segmentation represents a pivotal and intricate procedure in the domain of medical image processing and analysis. With the progression of artificial intelligence in recent years, the utilization of deep learning techniques for medical image
Longxuan Zhao +10 more
doaj +1 more source
Research on Medical Image Segmentation Based on SAM and Its Future Prospects
The rapid advancement of prompt-based models in natural language processing and image generation has revolutionized the field of image segmentation.
Kangxu Fan +5 more
doaj +1 more source
Enteropathogenic E. coli (EPEC) infects the human intestinal epithelium, resulting in severe illness and diarrhoea. In this study, we compared the infection of cancer‐derived cell lines with human organoid‐derived models of the small intestine. We observed a delayed in attachment, inflammation and cell death on primary cells, indicating that host ...
Mastura Neyazi +5 more
wiley +1 more source
We reconstituted Synechocystis glycogen synthesis in vitro from purified enzymes and showed that two GlgA isoenzymes produce glycogen with different architectures: GlgA1 yields denser, highly branched glycogen, whereas GlgA2 synthesizes longer, less‐branched chains.
Kenric Lee +3 more
wiley +1 more source
A novel neural network approach to cDNA microarray image segmentation [PDF]
This is the post-print version of the Article. The official published version can be accessed from the link below. Copyright @ 2013 Elsevier.Microarray technology has become a great source of information for biologists to understand the workings of DNA ...
Zineddin, B +7 more
core +1 more source
Medical Image Segmentation Using Combined Level Set and Saliency Analysis
In the realm of computer vision, image segmentation has become a crucial task with widespread applications, particularly in medical imaging. Although there have been significant advancements in image segmentation methods, challenges persist in accurately
Aditi Joshi +2 more
doaj +1 more source

