Results 91 to 100 of about 678,145 (379)

A citation-based review of study on image retrieval [PDF]

, 2018
Driven by the development of the information retrieval technologies, image retrieval has been studied for more than several decades. This study centers on revealing the current status and future directions of image retrieval based on reviewing previous ...
Cai, Xin, Wang, Yanyan, Zhao, Yuehua
core  

Addressing persistent challenges in digital image analysis of cancer tissue: resources developed from a hackathon

Molecular Oncology, EarlyView.
Large multidimensional digital images of cancer tissue are becoming prolific, but many challenges exist to automatically extract relevant information from them using computational tools. We describe publicly available resources that have been developed jointly by expert and non‐expert computational biologists working together during a virtual hackathon
Sandhya Prabhakaran, Clarence Yapp, Gregory J. Baker, Johanna Beyer, Young Hwan Chang, Allison L. Creason, Robert Krueger, Jeremy Muhlich, Nathan Heath Patterson, Kevin Sidak, Damir Sudar, Adam J. Taylor, Luke Ternes, Jakob Troidl, Xie Yubin, Artem Sokolov, Darren R. Tyson   +16 more
wiley   +1 more source

2-bit Model Compression of Deep Convolutional Neural Network on ASIC Engine for Image Retrieval [PDF]

arXiv, 2019
Image retrieval utilizes image descriptors to retrieve the most similar images to a given query image. Convolutional neural network (CNN) is becoming the dominant approach to extract image descriptors for image retrieval. For low-power hardware implementation of image retrieval, the drawback of CNN-based feature descriptor is that it requires hundreds ...
arxiv  

Constructing models for content-based image retrieval [PDF]

Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001, 2005
This paper presents a new method for constructing models from a set of positive and negative sample images ; the method requires no manual extraction of significant objects or features. Our model representation is based on two layers. The first one consists of “generic” descriptors which represent sets of similar rotational invariant feature vectors ...
openaire   +5 more sources

Robust acute myeloid leukemia engraftment in humanized scaffolds using injectable biomaterials and intravenous xenotransplantation

Molecular Oncology, EarlyView.
Patient‐derived xenografts (PDXs) can be improved by implantation of a humanized niche. We tested different biomaterials and approaches, and demonstrate that the combination of an injectable biomaterial for scaffold creation plus an intravenous route for acute myeloid leukemia (AML) xenotransplantation provide the most convenient and robust approach to
Daniel Busa, Zdenka Herudkova, Jan Hyl, Jakub Vlazny, Filip Sokol, Kvetoslava Matulova, Adam Folta, Jakub Hynst, Lucy Vojtova, Leos Kren, Martin Repko, Zdenek Racil, Jiri Mayer, Martin Culen   +13 more
wiley   +1 more source

Metadata for Content-Based Image Retrieval

Studia Universitatis Babes-Bolyai: Series Informatica, 2010
This paper presents an image retrieval technique that combines content based image retrieval with pre-computed metadata-based image retrieval. The resulting system will have the advantages of both approaches: the speed/efficiency of metadata-based image ...
Adrian Sterca, Daniela Miron
doaj  

KMT2A degradation is observed in decitabine‐responsive acute lymphoblastic leukemia cells

Molecular Oncology, EarlyView.
We demonstrate that decitabine (DEC) not only degrades the DNA methyltransferase DNMT1 but also the leukemic driver lysine methyltransferase KMT2A likely due to structural similarity of the DNA‐binding CXXC domains. DEC influences KMT2A downstream processes and synergizes with menin inhibitor revumenib (REV) to decrease leukemic cell proliferation, and
Luisa Brock, Lina Benzien, Sandra Lange, Maja Huehns, Alexandra Runge, Catrin Roolf, Anett Sekora, Gudrun Knuebel, Hugo Murua Escobar, Christian Junghanss, Anna Richter   +10 more
wiley   +1 more source

Introducing Multimedia Information Retrieval to libraries

JLIS.it, 2016
The paper aims to introduce libraries to the view that operating within the terms of traditional Information Retrieval (IR), only through textual language, is limitative, and that considering broader criteria, as those of Multimedia Information ...
Roberto Raieli
doaj   +6 more sources

Multi modal multi-semantic image retrieval [PDF]

, 2010
PhDThe rapid growth in the volume of visual information, e.g. image, and video can overwhelm users’ ability to find and access the specific visual information of interest to them.
Kesorn, Kraisak
core  

Evaluating Text-to-Image Matching using Binary Image Selection (BISON)

, 2019
Providing systems the ability to relate linguistic and visual content is one of the hallmarks of computer vision. Tasks such as text-based image retrieval and image captioning were designed to test this ability but come with evaluation measures that have
Hu, Hexiang, Misra, Ishan, van der Maaten, Laurens   +2 more
core   +1 more source