most citedDevelopment of an Ontology for an Integrated Image Analysis Platform to enable Global Sharing of Microscopy Imaging Data

9 citations · 25 across the 5 of their papers we have counts for

collaborators

5 papers

physics.med-ph2021★ 2 cited

Morphomics via Next-generation Electron Microscopy

Raku Son, Kenji Yamazawa, Akiko Oguchi +4

The living body is composed of innumerable fine and complex structures and although these structures have been studied in the past, a vast amount of information pertaining to them…

physics.med-ph2021★ 2 cited

Short Review: Pathology of the image big data era using electron microscopy

Satoshi Kume

The human body is mysterious, consisting of innumerable fine and complex structures and a vast amount of information. The field of modern pathology has been systematized around the…

cs.IR2021★ 5 cited

Extracting Domain-specific Concepts from Large-scale Linked Open Data

Satoshi Kume, Kouji Kozaki

We propose a methodology for extracting concepts for a target domain from large-scale linked open data (LOD) to support the construction of domain ontologies providing field-specif…

q-bio.QM2021★ 7 cited

Development of Semantic Web-based Imaging Database for Biological Morphome

Satoshi Kume, Hiroshi Masuya, Mitsuyo Maeda +3

We introduce the RIKEN Microstructural Imaging Metadatabase, a semantic web-based imaging database in which image metadata are described using the Resource Description Framework (R…

cs.DL2021★ 9 cited

Development of an Ontology for an Integrated Image Analysis Platform to enable Global Sharing of Microscopy Imaging Data

Satoshi Kume, Hiroshi Masuya, Yosky Kataoka +1

Imaging data is one of the most important fundamentals in the current life sciences. We aimed to construct an ontology to describe imaging metadata as a data schema of the integrat…