E-resources
Peer reviewed
Open access
-
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
Scientific data, 07/2022, Volume: 9, Issue: 1Journal Article
Abstract 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.
Author
Shelf entry
Permalink
- URL:
Impact factor
Access to the JCR database is permitted only to users from Slovenia. Your current IP address is not on the list of IP addresses with access permission, and authentication with the relevant AAI accout is required.
Year | Impact factor | Edition | Category | Classification | ||||
---|---|---|---|---|---|---|---|---|
JCR | SNIP | JCR | SNIP | JCR | SNIP | JCR | SNIP |
Select the library membership card:
If the library membership card is not in the list,
add a new one.
DRS, in which the journal is indexed
Database name | Field | Year |
---|
Links to authors' personal bibliographies | Links to information on researchers in the SICRIS system |
---|
Source: Personal bibliographies
and: SICRIS
The material is available in full text. If you wish to order the material anyway, click the Continue button.