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

Autor: Nguyen HQ; Vingroup Big Data Institute, Hanoi, Vietnam.; Smart Health Center, VinBigData JSC, Hanoi, Vietnam., Lam K; Hospital 108, Department of Radiology, Hanoi, Vietnam., Le LT; Hanoi Medical University Hospital, Department of Radiology, Hanoi, Vietnam., Pham HH; Vingroup Big Data Institute, Hanoi, Vietnam. hieu.ph@vinuni.edu.vn.; Smart Health Center, VinBigData JSC, Hanoi, Vietnam. hieu.ph@vinuni.edu.vn.; College of Engineering and Computer Science, VinUniversity, Hanoi, Vietnam. hieu.ph@vinuni.edu.vn.; VinUni-Illinois Smart Health Center, VinUniversity, Hanoi, Vietnam. hieu.ph@vinuni.edu.vn., Tran DQ; Vingroup Big Data Institute, Hanoi, Vietnam., Nguyen DB; Vingroup Big Data Institute, Hanoi, Vietnam., Le DD; Hospital 108, Department of Radiology, Hanoi, Vietnam., Pham CM; Hospital 108, Department of Radiology, Hanoi, Vietnam., Tong HTT; Hospital 108, Department of Radiology, Hanoi, Vietnam., Dinh DH; Hospital 108, Department of Radiology, Hanoi, Vietnam., Do CD; Hospital 108, Department of Radiology, Hanoi, Vietnam., Doan LT; Hanoi Medical University Hospital, Department of Radiology, Hanoi, Vietnam., Nguyen CN; Hanoi Medical University Hospital, Department of Radiology, Hanoi, Vietnam., Nguyen BT; Hanoi Medical University Hospital, Department of Radiology, Hanoi, Vietnam., Nguyen QV; Hanoi Medical University Hospital, Department of Radiology, Hanoi, Vietnam., Hoang AD; Hanoi Medical University Hospital, Department of Radiology, Hanoi, Vietnam., Phan HN; Hanoi Medical University Hospital, Department of Radiology, Hanoi, Vietnam., Nguyen AT; Hanoi Medical University Hospital, Department of Radiology, Hanoi, Vietnam., Ho PH; Tam Anh General Hospital, Department of Radiology, Ho Chi Minh City, Vietnam., Ngo DT; Smart Health Center, VinBigData JSC, Hanoi, Vietnam., Nguyen NT; Smart Health Center, VinBigData JSC, Hanoi, Vietnam., Nguyen NT; Smart Health Center, VinBigData JSC, Hanoi, Vietnam., Dao M; Vingroup Big Data Institute, Hanoi, Vietnam., Vu V; Vingroup Big Data Institute, Hanoi, Vietnam.; Yale University, Department of Mathematics, New Heaven, CT, 06511, USA.
Jazyk: angličtina
Zdroj: Scientific data [Sci Data] 2022 Jul 20; Vol. 9 (1), pp. 429. Date of Electronic Publication: 2022 Jul 20.
DOI: 10.1038/s41597-022-01498-w
Abstrakt: 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 than 100,000 chest X-ray scans that were retrospectively collected from two major hospitals in Vietnam. Out of this raw data, we release 18,000 images that were manually annotated by a total of 17 experienced radiologists with 22 local labels of rectangles surrounding abnormalities and 6 global labels of suspected diseases. The released dataset is divided into a training set of 15,000 and a test set of 3,000. Each scan in the training set was independently labeled by 3 radiologists, while each scan in the test set was labeled by the consensus of 5 radiologists. We designed and built a labeling platform for DICOM images to facilitate these annotation procedures. All images are made publicly available in DICOM format along with the labels of both the training set and the test set.
(© 2022. The Author(s).)
Databáze: MEDLINE
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