VinDr-CXR: An open dataset of chest X-rays with radiologist’s annotations

Most of the existing chest X-ray datasets include labels from a list of findings without specifying their locations on the radiographs. This limits the development of machine learning algorithms for the detection and localization of chest abnormalities. In this work, we describe a dataset of more th...

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Detalles Bibliográficos
Autores principales: Nguyen, Ha Q., Lam, Khanh, Le, Linh T., Pham, Hieu H., Tran, Dat Q., Nguyen, Dung B., Le, Dung D., Pham, Chi M., Tong, Hang T. T., Dinh, Diep H., Do, Cuong D., Doan, Luu T., Nguyen, Cuong N., Nguyen, Binh T., Nguyen, Que V., Hoang, Au D., Phan, Hien N., Nguyen, Anh T., Ho, Phuong H., Ngo, Dat T., Nguyen, Nghia T., Nguyen, Nhan T., Dao, Minh, Vu, Van
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Data Descriptor
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9300612/
https://www.ncbi.nlm.nih.gov/pubmed/35858929
http://dx.doi.org/10.1038/s41597-022-01498-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9300612/
https://www.ncbi.nlm.nih.gov/pubmed/35858929
http://dx.doi.org/10.1038/s41597-022-01498-w

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