Results 51 to 60 of about 159,892 (265)
Sometimes we have only an image that we should get our information by that. There are many search engines and software's that can search images but all of them don’t have the ability to search for similar images, image search by image. In this paper first, we explained performance, algorithmic search, and retrieval power of 2 powerful search engines ...
openaire +2 more sources
Image Retrieval With Random Bubbles
Publication in the conference proceedings of EUSIPCO, Viena, Austria ...
GUERRINI, Fabrizio +2 more
openaire +4 more sources
EXOSC10, an essential nuclear RNA exosome‐associated 3′‐5′ exoribonuclease, is inhibited by the anticancer drug 5‐fluorouracil (5‐FU), and EXOSC10 depletion increases 5‐FU sensitivity. The colon‐cancer variant EXOSC10S402T, located in a proteolysis motif, is stable and nuclear but nonfunctional in vivo.
Radhika Sain +10 more
wiley +1 more source
Co-word mapping of Image Retrieval based on Web of Science-Indexed Papers
Background and aim: Given the special status and wide usage of image retrieval in various fields, the present investigation studied on the research trends and significant factors within the field of image retrieval and drawing the co-word map based on ...
Samira Daniali +2 more
doaj
CIN85 is highly expressed in osteosarcoma, particularly in metastatic lesions. Its overexpression increases cell migration and Matrigel invasion, while silencing CIN85 suppresses these behaviors. Transcriptome analysis shows that CIN85 regulates MMP2, COL3A1, and Akt/mTOR signaling. Targeting these pathways reverses CIN85‐induced motility, highlighting
Iryna Horak +10 more
wiley +1 more source
Medicallmage Retrieval Method Based on Multi Feature Hierarchical Fusion
In order to solve the problem of medical equipment image retrieval,an image retrieval method based on multi feature layer fusion is proposed. Process:This method using color moments to calculate the characteristics of color image,the LBP Operator is used
SHAH Qang, SUN Xiao-ming
doaj +1 more source
Attribute-enhanced metric learning for face retrieval
Metric learning is a significant factor for media retrieval. In this paper, we propose an attribute label enhanced metric learning model to assist face image retrieval.
Yuchun Fang, Qiulong Yuan
doaj +1 more source
Here, we demonstrate that HS1BP3 interacts with Cortactin through a proline‐rich region (PRR3.1) and show that this interaction, and HS1BP3 itself, promote cancer cell proliferation and invasion. Inhibition of this interaction leads to build‐up of TKS5 in multivesicular endosomes and altered secretion of CD63 and CD9, providing an explanation for the ...
Arja Arnesen Løchen +9 more
wiley +1 more source
Interpreting the effects of DNA polymerase variants at the structural level
Using MAVISp and molecular dynamics simulations, we analyzed over 60 000 missense variants in POLE and POLD1 from ClinVar, COSMIC, cBioPortal, and saturation mutagenesis. Identified mechanistic indicators, including stability, binding, and long‐range, enable structural interpretation, providing ACMG‐like evidence for possible reclassification of VUS ...
Matteo Arnaudi +7 more
wiley +1 more source
Clothing Retrieval Based on Multiple Prompts and Contrastive Image-Text Learning [PDF]
With the continuous development of multimodal learning, the field of image retrieval is facing new opportunities and challenges. Most existing clothing retrieval models are based on convolutional neural networks or a Transformer's unimodal retrieval ...
SUN Yuan, WANG Kangping, ZHAO Mingbo
doaj +1 more source

