no code implementations • 1 Apr 2023 • Hieu H. Pham, Ha Q. Nguyen, Hieu T. Nguyen, Linh T. Le, Khanh Lam
We conducted a prospective study to measure the clinical impact of an explainable machine learning system on interobserver agreement in chest radiograph interpretation.
no code implementations • 6 Aug 2022 • Hieu H. Pham, Ha Q. Nguyen, Hieu T. Nguyen, Linh T. Le, Lam Khanh
For the localization task with 14 types of lesions, our free-response receiver operating characteristic (FROC) analysis showed that the VinDr-CXR achieved a sensitivity of 80. 2% at the rate of 1. 0 false-positive lesion identified per scan.
1 code implementation • 20 Mar 2022 • Hieu T. Nguyen, Ha Q. Nguyen, Hieu H. Pham, Khanh Lam, Linh T. Le, Minh Dao, Van Vu
Mammography, or breast X-ray, is the most widely used imaging modality to detect cancer and other breast diseases.
3 code implementations • 30 Dec 2020 • Ha Q. Nguyen, Khanh Lam, Linh T. Le, Hieu H. Pham, Dat Q. Tran, Dung B. Nguyen, Dung D. Le, Chi M. Pham, Hang T. T. Tong, Diep H. Dinh, Cuong D. Do, Luu T. Doan, Cuong N. Nguyen, Binh T. Nguyen, Que V. Nguyen, Au D. Hoang, Hien N. Phan, Anh T. Nguyen, Phuong H. Ho, Dat T. Ngo, Nghia T. Nguyen, Nhan T. Nguyen, Minh Dao, Van Vu
Most of the existing chest X-ray datasets include labels from a list of findings without specifying their locations on the radiographs.
