📄

Paper

Automatic human identification based on dental X-ray radiographs using computer vision

by Independent / Community 000d5f34dbcc4c29d04d2fcdfabce000e24312f3

Free2AITools Nexus Index

68.3

S: Semantic 50

Query-time baseline · scored live at search

A: Authority 83

P: Popularity 58

R: Recency 100

Q: Quality 65

Tech Context

Vital Performance —

A person may be identified by comparison between ante- and post-mortem dental panoramic radiographs (DPR). However, it is difficult to find reference material if the person is unknown. This is often the case when victims of crime or mass disaster are found. Computer vision can be a helpful solution to automate the finding of reference material in a large database of images. The purpose of the present study was to improve the automated identification of unknown individuals by comparison of ant...

Source →

Semantic Scholar 37 Citations

Paper Information Summary
Entity Passport
Registry ID	000d5f34dbcc4c29d04d2fcdfabce000e24312f3
License	ArXiv
Provider	semantic_scholar

📜

Cite this paper

Academic & Research Attribution

BibTeX

@misc{000d5f34dbcc4c29d04d2fcdfabce000e24312f3,
  author = {Unknown},
  title = {Automatic human identification based on dental X-ray radiographs using computer vision Paper},
  year = {2026},
  howpublished = {\url{https://api.semanticscholar.org/000d5f34dbcc4c29d04d2fcdfabce000e24312f3}},
  note = {Accessed via Free2AITools.}
}

APA Style

Unknown. (2026). Automatic human identification based on dental X-ray radiographs using computer vision [Paper]. Free2AITools. https://api.semanticscholar.org/000d5f34dbcc4c29d04d2fcdfabce000e24312f3

🔬Technical Deep Dive

Full Specifications [+]

⚖️ Free2AITools Nexus Index V2.0

Methodology How FNI works

Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 83

Popularity (P) 58

Recency (R) 100

Quality (Q) 65

💬 Index Insight

FNI V2.0 for Automatic human identification based on dental X-ray radiographs using computer vision: Authority (A:83), Popularity (P:58), Recency (R:100), Quality (Q:65). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

HuggingFace API GitHub Metadata Arxiv Citation DB Methodology

Open data Updated: Live data

📝 Executive Summary

"A person may be identified by comparison between ante- and post-mortem dental panoramic radiographs (DPR). However, it is difficult to find reference material if the person is unknown. This is often the case when victims of crime or mass disaster are found. Computer vision can be a helpful solution to automate the finding of reference material in a large database of images. The purpose of the present study was to improve the automated identification of unknown individuals by comparison of ant..."

❝ Cite Node

@article{Unknown2026Automatic,
  title={Automatic human identification based on dental X-ray radiographs using computer vision},
  author={},
  note={Indexed by Free2AITools},
  year={2026}
}

🔗 Full Paper

Free2AITools indexes the abstract and factual metadata for this paper. Read the complete, authoritative paper on the official source.

Read the full paper on arXiv

📊 Research Signals

📈37CitationsSemantic Scholar

🏛️83AuthorityFNI pillar

⏱️100RecencyFNI pillar

✅65QualityFNI pillar

🗂️vision multimediaField

🏷️ Research Topics

image generationvision models

📦Data Source: semantic_scholar

🔄 Updated daily

Source summary: Based on semantic_scholar metadata. Not a recommendation.

📊 FNI Methodology 📚 Knowledge Baseℹ️ Verify with original source

🛡️ Paper Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

source: semantic_scholar
author: Unknown
license: ArXiv
tags: paper, research, academic

⚙️ Technical Specs

architecture: null
params billions: null
context length: null
pipeline tag

📊 Engagement & Metrics

downloads: 0
stars: null
forks: null
citations: 37

Data indexed from public sources. Updated daily.