Slice-level Detection of Intracranial Hemorrhage on CT Using Deep Descriptors of Adjacent Slices

no code implementations • MIDL 2019 • Dat T. Ngo, Thao T. B. Nguyen, Hieu T. Nguyen, Dung B. Nguyen, Ha Q. Nguyen, Hieu H. Pham

In particular, deep convolutional neural networks (D-CNNs) have been key players and were adopted by the medical imaging community to assist clinicians and medical experts in disease diagnosis and treatment.

Computed Tomography (CT) Medical Diagnosis +1

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

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.

Interpreting Chest X-rays via CNNs that Exploit Hierarchical Disease Dependencies and Uncertainty Labels

no code implementations • MIDL 2019 • Hieu H. Pham, Tung T. Le, Dat T. Ngo, Dat Q. Tran, Ha Q. Nguyen

The chest X-rays (CXRs) is one of the views most commonly ordered by radiologists (NHS), which is critical for diagnosis of many different thoracic diseases.

Interpreting chest X-rays via CNNs that exploit hierarchical disease dependencies and uncertainty labels

2 code implementations • 15 Nov 2019 • Hieu H. Pham, Tung T. Le, Dat Q. Tran, Dat T. Ngo, Ha Q. Nguyen

The performance is on average better than 2. 6 out of 3 other individual radiologists with a mean AUC of 0. 930, which ranks first on the CheXpert leaderboard at the time of writing this paper.

Multi-Label Classification