Results 61 to 70 of about 83,590 (265)
FEBS Letters, EarlyView.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
Evaluation study on SAM 2 for class-agnostic instance-level segmentation
CAAI Artificial Intelligence ResearchSegment anything model (SAM) has demonstrated powerful zero-shot segmentation performance in natural scenes. The recently released segment anything model 2 (SAM2) has further heightened researchers’ expectations towards image segmentation capabilities ...
Jialun Pei +2 more
doaj +1 more source
Panoptic Instance Segmentation on Pigs
CoRR, 2020 18 pages, 10 figures.
Johannes Brünger +3 more
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Complete Instances Mining for Weakly Supervised Instance Segmentation
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023 Weakly supervised instance segmentation (WSIS) using only image-level labels is a challenging task due to the difficulty of aligning coarse annotations with the finer task. However, with the advancement of deep neural networks (DNNs), WSIS has garnered significant attention.
Zecheng Li +3 more
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Reciprocal control of viral infection and phosphoinositide dynamics
FEBS Letters, EarlyView.Phosphoinositides, although scarce, regulate key cellular processes, including membrane dynamics and signaling. Viruses exploit these lipids to support their entry, replication, assembly, and egress. The central role of phosphoinositides in infection highlights phosphoinositide metabolism as a promising antiviral target.
Marie Déborah Bancilhon, Bruno Mesmin
wiley +1 more source
S4Net: Single stage salient-instance segmentation
Computational Visual Media, 2020 In this paper, we consider salient instance segmentation. As well as producing bounding boxes, our network also outputs high-quality instance-level segments as initial selections to indicate the regions of interest.
Ruochen Fan +5 more
doaj +1 more source
Machine Learning for Instance Segmentation [PDF]
, 2020 Volumetric Electron Microscopy images can be used for connectomics, the study of brain connectivity at the cellular level. A prerequisite for this inquiry is the automatic identification of neural cells, which requires machine learning algorithms and in particular efficient image segmentation algorithms. In this thesis, we develop new algorithms for
openaire +2 more sources
YOLACT: Real-Time Instance Segmentation [PDF]
2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019 Updated for ICCV 2019 and added ...
Daniel Bolya +3 more
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EipFormer: Emphasizing Instance Positions in 3D Instance Segmentation
CoRR, 2023 3D instance segmentation plays a crucial role in comprehending 3D scenes. Despite recent advancements in this field, existing approaches exhibit certain limitations. These methods often rely on fixed instance positions obtained from sampled representative points in vast 3D point clouds, using center prediction or farthest point sampling. However, these
Mengnan Zhao 0001 +3 more
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FEBS Letters, EarlyView.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