Reinforcement Learning -based Adaptation and Scheduling Methods for Multi-source DASH

1 code implementation • 25 Jul 2023 • Nghia T. Nguyen, Long Luu, Phuong L. Vo, Thi Thanh Sang Nguyen, Cuong T. Do, Ngoc-thanh Nguyen

In DASH, the client downloads video chunks in order from a server.

reinforcement-learning Reinforcement Learning (RL) +1

VinDr-SpineXR: A deep learning framework for spinal lesions detection and classification from radiographs

1 code implementation • 24 Jun 2021 • Hieu T. Nguyen, Hieu H. Pham, Nghia T. Nguyen, Ha Q. Nguyen, Thang Q. Huynh, Minh Dao, Van Vu

It demonstrates an area under the receiver operating characteristic curve (AUROC) of 88. 61% (95% CI 87. 19%, 90. 02%) for the image-level classification task and a mean average precision (mAP@0. 5) of 33. 56% for the lesion-level localization task.

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.

A CNN-LSTM Architecture for Detection of Intracranial Hemorrhage on CT scans

1 code implementation • MIDL 2019 • Nhan T. Nguyen, Dat Q. Tran, Nghia T. Nguyen, Ha Q. Nguyen

We validate the method on the recent RSNA Intracranial Hemorrhage Detection challenge and on the CQ500 dataset.

Computed Tomography (CT) Ensemble Learning