26 papers · ranked by Valyu relevance
Bitao Zhong, Rui Fan, Xiangwen Ji, Qinghua Cui + 1 more
The advancements of deep learning algorithms in medical image analysis has garnered tremendous attention in recent years. Several studies have reported that the models have achieved and even surpassed human performance, whereas the translation of these models into clinical practice is still accompanied by various…
Peter Uetz, Maya Patel, Zainab Gbadamosi, Jeremy Nguyen + 1 more
While there are millions of reptile images available online, they are not well organized and not easily findable, accessible, interoperable, or reproducible (FAIR). More importantly, they are not standardized and thus hardly comparable. Here we present a reference database of more than 14,000 standardized images of…
Bitao Zhong, Rui Fan, Yue Ma, Xiangwen Ji + 3 more
The advancements in deep learning algorithms for medical image analysis have garnered significant attention in recent years. While several studies have shown promising results, with models achieving or even surpassing human performance, translating these advancements into clinical practice is still accompanied by…
Enhui Jin, Dongli Zhao, Gangao Wu, Junwei Zhu + 10 more
With the development of artificial intelligence (AI) technologies, biomedical imaging data play important role in scientific research and clinical application, but the available resources are limited. Here we present Open Biomedical Imaging Archive (OBIA), a repository for archiving biomedical imaging data and related…
Matthew Hartley, Gerard Kleywegt, Ardan Patwardhan, Ugis Sarkans + 2 more
Despite the importance of data resources in genomics and structural biology, until now there has been no central archive for biological data for all imaging modalities. The BioImage Archive is a new data resource at the European Bioinformatics Institute (EMBL-EBI) designed to fill this gap. It accepts bioimaging data…
Jayesh Ruikar, Saurabh Chaudhury, Guangtao Zhai, Xiongkuo Min + 2 more
'Menghan Hu' 'Wei Zhou'] This paper describes a newly-created image database termed as the NITS-IQA database for image quality assessment (IQA). In spite of recently developed IQA databases, which contain a collection of a huge number of images and type of distortions, there is still a lack of new distortion and use of…
András Zábó, Máté Nagy, Aamir Ahmad
Automatic re-identification of animals has significant potential for addressing pressing challenges of our times via population monitoring, individual health assessment or detailed behavior analysis. Although numerous computer vision based solutions have been proposed and many achieve high accuracy, those still remain…
Giorgos Kordopatis-Zilos, Vladan Stojnić, A.A. Manko, Pavel Šuma + 6 more
'Nikolaos-Antonios Ypsilantis' 'Nikos Efthymiadis' 'Zakaria Laskar' 'Jiřı́ Matas' 'Ondřej Chum' 'Giorgos Tolias'] This work introduces ILIAS, a new test dataset for Instance-Level Image retrieval At Scale. It is designed to evaluate the ability of current and future foundation models and retrieval techniques to…
Sayan Nath, Nikhil R. Nayak
In recent years, we know that the interaction with images has increased. Image similarity involves fetching similar-looking images abiding by a given reference image. The target is to find out whether the image searched as a query can result in similar pictures. We are using the BigTransfer Model, which is a…
Metwally Rashad, Ibrahem Afifi, Mohammed Abdelfatah
Systems for retrieving and managing content-based medical images are becoming more important, especially as medical imaging technology advances and the medical image database grows. In addition, these systems can also use medical images to better grasp and gain a deeper understanding of the causes and treatments of…
Kohulan Rajan, Henning Otto Brinkhaus, M. Isabel Agea, Achim Zielesny + 1 more
The number of publications describing chemical structures has increased steadily over the last decades. However, the majority of published chemical information is currently not available in machine-readable form in public databases. It remains a challenge to automate the process of information extraction in a way that…
Luotao Lin, Jiangpeng He, Fengqing Zhu, Edward J. Delp + 3 more
'Heather A. Eicher-Miller' 'Konstantinos Kantartzis' 'Triantafyllos Didangelos'] New imaging technologies to identify food can reduce the reporting burden of participants but heavily rely on the quality of the food image databases to which they are linked to accurately identify food images. The objective of this study…
Steve Göring
A brief overview of CLIPSE, a self-hosted image search engine with the main application of research, is provided. In general, CLIPSE uses CLIP embeddings to process the images and also the text queries. The overall framework is designed with simplicity to enable easy extension and usage. Two benchmark scenarios are…
Sara Zullino, Alessandro Paglialonga, Walter Dastrù, Dario Livio Longo + 1 more
'Dario Livio Longo' 'Silvio Aime'] Molecular imaging generates large volumes of heterogeneous biomedical imagery with an impelling need of guidelines for handling image data. Although several successful solutions have been implemented for human epidemiologic studies, few and limited approaches have been proposed for…
N. Malmurugan, S. Christalin Nelson, Majid Altuwairiqi, Hashem Alyami + 3 more
Numerous forms of disasters and vandalism can occur in transmission lines, which makes them vulnerable. As a result, the transmission pipes must be protected by a reliable monitoring system. When a wireless sensor network is built from disparate devices that are positioned at varying distances from one another, it can…
Qi Gu, Zhihua Xia, Xingming Sun
Content-Based Image Retrieval (CBIR) techniques have been widely researched and in service with the help of cloud computing like Google Images. However, the images always contain rich sensitive information. In this case, the privacy protection become a big problem as the cloud always can't be fully trusted. Many…
Julio A. Peraza, James D. Kent, Ross W. Blair, Jean-Baptiste Poline + 3 more
Image-based meta-analysis (IBMA) is a powerful method for synthesizing results from various fMRI studies. However, challenges related to data accessibility and the lack of available tools and methods have limited its widespread use. This study examined the current state of the NeuroVault repository and developed a…
Wei Yu, Kuiyuan Yang, Yalong Bai, Hongxun Yao + 1 more
—The semantic gap between low-level image pixels and high-level semantics has been progressively bridged by the continuously developing Deep Neural Network (DNN), and achieved great success in almost all image classification tasks. To extend the power of DNN to image retrieval task, we proposed an unified DNN model for…
Steven Ndung'u, T. L. Grobler, Stefan J. Wijnholds, Dimka Karastoyanova + 1 more
'Dimka Karastoyanova' 'George Azzopardi'] The shear number of sources that will be detected by nextgeneration radio surveys will be astronomical, which will result in serendipitous discoveries. Data-dependent deep hashing algorithms have been shown to be efficient at image retrieval tasks in the fields of computer…
Authors not listed
In recent years, the development of large language models (LLMs) has revolutionized various fields of natural science, yet their application in molecular data processing remains constrained due to the reliance on single-modality inputs and outputs. To bridge the gap between experimenters and computational tools, we…
Yonghyun Kim
Information Authors: ['Yonghyun Kim'] Abstract: With the development of Information and Communication Technologies and the dissemination of smartphones, especially now that image search is possible through the internet, e-commerce markets are more activating purchasing services for a wide variety of products. However…
Jiajun Zhang, Georgina Cosma, S.L. Bugby, Jason Watkins
Image retrieval is the process of searching and retrieving images from a database based on their visual content and features. Recently, much attention has been directed towards the retrieval of irregular patterns within industrial or medical images by extracting features from the images, such as deep features…
Umer Rashid, Maha Saddal, Abdur Rehman Khan, Sadia Manzoor + 2 more
'Naveed Ahmad' 'Steven Thompson'] The existing image search engines allow web users to explore images from the grids. The traditional interaction is linear and lookup-based. Notably, scanning web search results is horizontal-vertical and cannot support in-depth browsing. This research emphasizes the significance of a…
Venkata Chandrasekhar Nainala, Kohulan Rajan, Sri Ram Sagar Kanakam, Nisha Sharma + 3 more
The COCONUT (COlleCtion of Open Natural prodUcTs) database was launched in 2021 as an aggregation of openly available natural product datasets and has been one of the biggest open natural product databases since. Apart from the chemical structures of natural products, COCONUT contains information about names and…
Authors not listed
This article presents two programs to help users construct mass spectral libraries for use with the NIST/NIJ DART-MS Data Interpretation Tool (version 3.22). The Full Database Builder program—which is a modification of the original database building script published through NIST—generates libraries that follow the…
Authors not listed
Mass spectrometry (MS) generates large datasets that are stored in increasingly optimized and complex file types, demanding technical expertise to extract information rapidly and easily. We wondered whether a simple structured query language (SQL) database could hold raw MS data and allow for easily readable queries…