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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao ZENODOarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
ZENODO
Dataset . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
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DenPAR: Annotated Intra-Oral Periapical Radiographs Dataset

Research datakeyboard_double_arrow_right Dataset 27 Oct 2024 English Publisher:Zenodo
Authors: Wimalasiri, Chathura;

doi: 10.5281/zenodo.13998619

DenPAR: Annotated Intra-Oral Periapical Radiographs Dataset

Abstract

This dataset, named "DenPAR: Annotated Intra-Oral Periapical Radiographs Dataset," comprises a collection of intraoral periapical (IOPA) radiographs specifically curated for the detection of alveolar bone loss. The dataset includes the following: IOPA Radiographs: Radiographs images suitable for dental analysis. Bone Level Annotations: Precise markings indicating bone levels for detection and evaluation of bone loss. Keypoint Annotations: Annotations include critical points such as the Cemento-Enamel Junction (CEJ), APEX, and bounding box for each tooth. Teeth Annotations: Data identifying individual teeth in each radiograph. Tooth Segmentation: Segmented regions of each tooth, aiding in targeted analysis. This dataset aims to support research and development in dental imaging, particularly in automated bone loss detection and related dental diagnostic applications.

Keywords

Machine learning, dental radiograohy, Deep learning

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average