Curated and Annotated Dataset of Lung US Images in Zambian Children with Clinical Pneumonia

Lauren Etter; Margrit Betke; Ingrid Y. Camelo; Christopher J. Gill; Rachel Pieciak; Russell Thompson; Libertario Demi; Umair Khan; Alyse Wheelock; Janet Katanga; Bindu N. Setty; Ilse Castro-Aragon

doi:10.1148/ryai.230147

Curated and Annotated Dataset of Lung US Images in Zambian Children with Clinical Pneumonia

Lauren Etter
, Margrit Betke
, Ingrid Y. Camelo
, Christopher J. Gill
, Rachel Pieciak
, Russell Thompson
, Libertario Demi
, Umair Khan
, Alyse Wheelock
, Janet Katanga
, Bindu N. Setty
, Ilse Castro-Aragon

Infectious Diseases

Research output: Contribution to journal › Article › peer-review

5 Scopus citations

Abstract

The presented pediatric lung US dataset, PedLUS, contains images acquired in 200 Zambian children with pneumonia or severe pneumonia, as well as in 200 age- and sex-matched healthy children; furthermore, pulmonary consolidation patterns in 57 children with pneumonia are annotated in the PedLUS dataset.

Original language	English (US)
Article number	e230147
Journal	Radiology: Artificial Intelligence
Volume	6
Issue number	2
DOIs	https://doi.org/10.1148/ryai.230147
State	Published - Mar 2024

Keywords

AI
Chest Radiograph
Consolidation
Dataset
Lung
Mobile Ultrasound
Pediatrics
Pneumonia
Public Health
Training Datasets
Ultrasound

ASJC Scopus subject areas

Radiological and Ultrasound Technology
Radiology Nuclear Medicine and imaging
Artificial Intelligence

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1148/ryai.230147

Cite this

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title = "Curated and Annotated Dataset of Lung US Images in Zambian Children with Clinical Pneumonia",

abstract = "The presented pediatric lung US dataset, PedLUS, contains images acquired in 200 Zambian children with pneumonia or severe pneumonia, as well as in 200 age- and sex-matched healthy children; furthermore, pulmonary consolidation patterns in 57 children with pneumonia are annotated in the PedLUS dataset.",

keywords = "AI, Chest Radiograph, Consolidation, Dataset, Lung, Mobile Ultrasound, Pediatrics, Pneumonia, Public Health, Training Datasets, Ultrasound",

author = "Lauren Etter and Margrit Betke and Camelo, \{Ingrid Y.\} and Gill, \{Christopher J.\} and Rachel Pieciak and Russell Thompson and Libertario Demi and Umair Khan and Alyse Wheelock and Janet Katanga and Setty, \{Bindu N.\} and Ilse Castro-Aragon",

year = "2024",

month = mar,

doi = "10.1148/ryai.230147",

language = "English (US)",

volume = "6",

journal = "Radiology: Artificial Intelligence",

issn = "2638-6100",

publisher = "Radiological Society of North America Inc.",

number = "2",

}

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T1 - Curated and Annotated Dataset of Lung US Images in Zambian Children with Clinical Pneumonia

AU - Etter, Lauren

AU - Betke, Margrit

AU - Camelo, Ingrid Y.

AU - Gill, Christopher J.

AU - Pieciak, Rachel

AU - Thompson, Russell

AU - Demi, Libertario

AU - Khan, Umair

AU - Wheelock, Alyse

AU - Katanga, Janet

AU - Setty, Bindu N.

AU - Castro-Aragon, Ilse

PY - 2024/3

Y1 - 2024/3

N2 - The presented pediatric lung US dataset, PedLUS, contains images acquired in 200 Zambian children with pneumonia or severe pneumonia, as well as in 200 age- and sex-matched healthy children; furthermore, pulmonary consolidation patterns in 57 children with pneumonia are annotated in the PedLUS dataset.

AB - The presented pediatric lung US dataset, PedLUS, contains images acquired in 200 Zambian children with pneumonia or severe pneumonia, as well as in 200 age- and sex-matched healthy children; furthermore, pulmonary consolidation patterns in 57 children with pneumonia are annotated in the PedLUS dataset.

KW - AI

KW - Chest Radiograph

KW - Consolidation

KW - Dataset

KW - Lung

KW - Mobile Ultrasound

KW - Pediatrics

KW - Pneumonia

KW - Public Health

KW - Training Datasets

KW - Ultrasound

UR - https://www.scopus.com/pages/publications/85190112369

UR - https://www.scopus.com/pages/publications/85190112369#tab=citedBy

U2 - 10.1148/ryai.230147

DO - 10.1148/ryai.230147

M3 - Article

AN - SCOPUS:85190112369

SN - 2638-6100

VL - 6

JO - Radiology: Artificial Intelligence

JF - Radiology: Artificial Intelligence

IS - 2

M1 - e230147

ER -

Curated and Annotated Dataset of Lung US Images in Zambian Children with Clinical Pneumonia

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

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