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.
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.
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.
no code implementations • 1 May 2016 • Minh Dao, Xiang Xiang, Bulent Ayhan, Chiman Kwan, Trac. D. Tran
In this paper, we propose a burnscar detection model for hyperspectral imaging (HSI) data.
no code implementations • 30 Jan 2015 • Hojjat Seyed Mousavi, Umamahesh Srinivas, Vishal Monga, Yuanming Suo, Minh Dao, Trac. D. Tran
Promising results have been achieved in image classification problems by exploiting the discriminative power of sparse representations for classification (SRC).
no code implementations • 29 Oct 2014 • Minh Dao, Nam H. Nguyen, Nasser M. Nasrabadi, Trac. D. Tran
In this paper, we propose a general collaborative sparse representation framework for multi-sensor classification, which takes into account the correlations as well as complementary information between heterogeneous sensors simultaneously while considering joint sparsity within each sensor's observations.
1 code implementation • 7 Oct 2014 • Xiang Xiang, Minh Dao, Gregory D. Hager, Trac. D. Tran
In this paper, we design a Collaborative-Hierarchical Sparse and Low-Rank (C-HiSLR) model that is natural for recognizing human emotion in visual data.
no code implementations • 8 Jun 2014 • Yuanming Suo, Minh Dao, Umamahesh Srinivas, Vishal Monga, Trac. D. Tran
Sparsity driven signal processing has gained tremendous popularity in the last decade.