Sci Data June 2023 PMID 37316638

Children's dental panoramic radiographs dataset for caries segmentation and dental disease detection.

Yifan Zhang, Fan Ye, Lingxiao Chen, Feng Xu, Xiaodiao Chen, Hongkun Wu, Mingguo Cao, Yunxiang Li, Yaqi Wang, Xingru Huang

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Mentions

Peak: 4 in Jun 2023

across 2 sources since Jun 2023

Extended reach

21,350

potential audience

Total likes

Video views

Mentions per month

Jun 2023 – Dec 2023

Where it's discussed

X / Twitter5 posts
YouTube1 videos

AI synopsis

What people are saying

The overall discussions demonstrate moderate interest, with users sharing the publication and hashtags related to AI and machine learning, such as #AI and #DeepLearning, but without detailed critique or profound engagement. Phrases like 'Children’s dental panoramic radiographs dataset' and emphasis on keywords reflect an awareness primarily grounded in the publication's technical relevance, contributing to a neutral and somewhat cautious assessment of its significance.

AgreementNeither agree nor disagree

The discussions mostly acknowledge the publication without strong opinions for or against it, as reflected in neutral comments.

InterestModerate interest

Participants show some curiosity by sharing the publication and related hashtags, but the engagement appears limited in depth.

EngagementNeutral engagement

Comments largely consist of sharing or retweeting the publication rather than detailed analysis, indicating moderate engagement.

ImpactModerate impact

The posts suggest the publication could influence AI and dental diagnostics, but there's minimal evidence of deep discussion on its broader implications.

Abstract in brief

This text discusses the creation of a unique dataset consisting of dental panoramic radiographs of children aged 2 to 13, aimed at improving automatic detection of dental diseases and caries through deep learning.
It highlights the lack of publicly available datasets for children's dental images, which has limited advancements in AI tools for pediatric dental analysis, and describes how the dataset was annotated using specialized software.
The dataset includes images from pediatric patients as well as adult datasets, totaling over 2700 images, and aims to facilitate the development of more effective diagnostic tools through machine learning.]

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All mentions

Child Dental Radiographs Dataset for Caries Detection and Analysis

This video introduces a dataset of panoramic dental radiographs of children aged 2 to 13, designed to improve automatic detection of dental diseases and caries using deep learning. It emphasizes the shortage of publicly…

STEM RTCL TV · Sep 30, 2023 27 views

Paul Lopez

@lopezunwired · X

Publisher Correction: Children’s dental panoramic radiographs dataset for caries segmentation and dental disease detection https://t.co/6wkjSWW0AZ #MachineLearning #NatureJournal #AI

Dec 8, 2023 · 2,478 followers View post →

Harry

@HarryHSolo · X

RT @Deep_In_Depth: Children’s dental panoramic radiographs dataset for caries segmentation and dental disease detection https://t.co/oqr6m…

Jun 19, 2023 · 1 share · 549 followers View post →

Deep_In_Depth

@Deep_In_Depth · X

Jun 19, 2023 · 1 like · 1 share · 14,554 followers View post →

Paul Lopez

@lopezunwired · X

Children’s dental panoramic radiographs dataset for caries segmentation and dental disease detection #MachineLearning #NatureJournal #AI https://t.co/5n2uexpKzm

Jun 14, 2023 · 2,478 followers View post →

Reluctant Quant

@DrMattCrowson · X

RT Children’s dental panoramic radiographs dataset for caries segmentation and dental disease detection https://t.co/jgR9nisFRc

Jun 14, 2023 · 1,260 followers View post →