AI-Supported Extraction of Functional Tissue Unit Properties for Human Reference Atlas Construction
Year: 2025
Type: dataset
Abstract: This repository contains the results dataset associated with the paper "AI-Supported Extraction of Functional Tissue Unit Properties for Human Reference Atlas Construction". The repository includes: Overview of Results Tables.pdfA summary of the dataset, listing each table's name, attributes, and descriptions. Results Tables: scale-bar.tar.gz, ftu-publication.tar.gz, image-ref-text.tar.gz, biology-entities.tar.gz, donor-metadata.tar.gz, publication-summary.tar.gz, image-summary.tar.gz, image-type.tar.gz.
Authors: YONGXIN, KONG, Börner, Katy
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Awards: 3D Multiscale Biomolecular Human Reference Atlas Construction, Visualization and Usage [4 of 5], Central Hub for Kidney Precision Medicine, Amplifying the Value of HuBMAP Data Through Data Interoperability and Collaboration, The Human Body Atlas: High-Resolution, Functional Mapping of Voxel, Vector, and Meta Datasets, National Institute of Diabetes and Digestive and Kidney Diseases ATLAS (D2K-ATLAS) Center as an accessible, comprehensive data portfolio for renal and genitourinary development and disease, KPMP Kidney Mapping and Atlas Project (KMAP), Cellular Senescence Network (SenNet) Consortium Organization and Data Coordinating Center (CODCC)
OpenAlex ID: W7081168697