26 papers · ranked by Valyu relevance
Martin N. Hebart, Adam H. Dickter, Alexis Kidder, Wan Y. Kwok + 4 more
'Anna Corriveau' 'Caitlin Van Wicklin' 'Chris I. Baker' 'Fabian A. Soto'] In recent years, the use of a large number of object concepts and naturalistic object images has been growing strongly in cognitive neuroscience research. Classical databases of object concepts are based mostly on a manually curated set of…
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…
Eleanor Williams, Josh Moore, Simon W Li, Gabriella Rustici + 9 more
This Resource describes the Image Data Resource (IDR), a prototype online system for biological image data that links experimental and analytic data across multiple data sets and promotes image data sharing and reanalysis. Supplementary information The online version of this article (doi:10.1038/nmeth.4326) contains…
Martin N. Hebart, Adam H. Dickter, Alexis Kidder, Wan Y. Kwok + 3 more
In recent years, the use of a large number of object concepts and naturalistic object images has been growing strongly in cognitive neuroscience research. Classical databases of object concepts are based mostly on a manually curated set of concepts. Further, databases of naturalistic object images typically consist of…
Mohammad Nabil Almunawar
Content-based multimedia information retrieval is an interesting research area since it allows retrieval based on inherent characteristic of multimedia objects. For example retrieval based on visual characteristics such as colour, shapes or textures of objects in images or retrieval based on spatial relationships among…
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…
Abhiram Das, Alexander Bucksch, Charles A Price, Joshua S Weitz
Background Leaf vein networks are critical to both the structure and function of leaves. A growing body of recent work has linked leaf vein network structure to the physiology, ecology and evolution of land plants. In the process, multiple institutions and individual researchers have assembled collections of cleared…
Marcin Korytkowski, Rafał Scherer, Paweł Staszewski, Piotr Woldan
Thanks to content-based image retrieval (CBIR) [1][2][3][4][5][6][7][8] we are able to search for similar images and classify them [9][10][11][12][13]. Images can be analyzed based on color representation [14][15][16], textures [17][18][19][20], shape [21][22][23] or edge detectors [24]. Recently, local invariant…
Eleanor Williams, Josh Moore, Simon W. Li, Gabriella Rustici + 9 more
Access to primary research data is vital for the advancement of the scientific enterprise. It facilitates the validation of existing observations and provides the raw materials to build new hypotheses and make new discoveries. In the life sciences, research communities have repeatedly collaborated to build resources…
Wybren van der Meer, Kim‐Kwang Raymond Choo, Nhien‐An Le‐Khac, Tahar Kechadi
'Tahar Kechadi'] Abstract— Today, in digital forensics, images normally provide important information within an investigation. However, not all images may still be available within a forensic digital investigation as they were all deleted for example. Data carving can be used in this case to retrieve deleted images but…
Ibrahim Elhenawy, Kareem Ahmed
Content-Based Image Retrieval (CBIR) systems have been widely used for a wide range of applications such as Art collections, Crime prevention and Intellectual property. In this paper, a novel CBIR system, which utilizes visual contents (color, texture and shape) of an image to retrieve images, is proposed. The proposed…
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…
Hermann Pflüger
A vast quantity of art in existence today is inaccessible to individuals. If people want to know the different types of art that exist, how individual works are connected, and how works of art are interpreted and discussed in the context of other works, they must utilize means other than simply viewing the art.…
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…
Alfonso Baldi, Marco Quartulli, Raffaele Murace, Emanuele Dragonetti + 3 more
'Mario Manganaro' 'Oscar Guerra' 'Stefano Bizzi'] Dermoscopy (dermatoscopy, epiluminescence microscopy) is a non-invasive diagnostic technique for the in vivo observation of pigmented skin lesions (PSLs), allowing a better visualization of surface and subsurface structures (from the epidermis to the papillary dermis).…
Safia Jabeen, Zahid Mehmood, Toqeer Mahmood, Tanzila Saba + 3 more
'Amjad Rehman' 'Muhammad Tariq Mahmood' 'Daniel L. Rubin'] For the last three decades, content-based image retrieval (CBIR) has been an active research area, representing a viable solution for retrieving similar images from an image repository. In this article, we propose a novel CBIR technique based on the visual…
Willi Egloff, Donat Agosti, Puneet Kishor, David Patterson + 1 more
Taxonomy is the discipline responsible for charting the world’s organismic diversity, understanding ancestor/descendant relationships, and organizing all species according to a unified taxonomic classification system. Taxonomists document the attributes (characters) of organisms, with emphasis on those can be used to…
Vania V. Estrela, Albany E. Herrmann
Content-Based Image Retrieval (CBIR) locates, retrieves and displays images alike to one given as a query, using a set of features. It demands accessible data in medical archives and from medical equipment, to infer meaning after some processing. A problem similar in some sense to the target image can aid clinicians.…
Vignesh Rajakumar, Vipeen V. Bopche
- The existing methods for image search re ranking suffer from the unfaithfulness of the assumptions under which the text-based images search result. The resulting images contain more irrelevant images. Hence the re ranking concept arises to re rank the retrieved images based on the text around the image and data of…
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…
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…
Michael Statt, Kristopher Brown, Santosh Suram, Linda Hung + 3 more
In this work, we present DBgen, a Python library that provides a framework for defining extract-transform-load (ETL) pipelines to create and populate SQL databases. DBgen is most useful when the underlying data has complex relationships, requires multi-step analysis, is large-scale, and the type of data being collected…
Lutz Weber, Aleksei Krasnov, Shadrack Barnabas, Timo Böhme + 1 more
The extraction of chemical information from images, also known as Optical Chemical Structure Recognition (OCSR) has recently gained new attention. This new interest is ignited by various machine learning methods introduced over the last years and the new possibilities to train image models for specific tasks such as…
Authors not listed
Determining complete atomic structures directly from microscopy images remains a longstanding challenge in materials science. MicroscopyGPT is a vision-language model (VLM) that leverages multimodal generative pre-trained transformers to predict full atomic configurations including lattice parameters, element types…
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…