H
Hung N. Pham
Researcher at Hanoi University of Science and Technology
Publications - 22
Citations - 244
Hung N. Pham is an academic researcher from Hanoi University of Science and Technology. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 5, co-authored 12 publications receiving 74 citations. Previous affiliations of Hung N. Pham include University of Oklahoma & Huazhong University of Science and Technology.
Papers
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Journal ArticleDOI
Predicting the onset of type 2 diabetes using wide and deep learning with electronic health records
Binh P. Nguyen,Hung N. Pham,Hop Tran,Nhung Nghiem,Quang H. Nguyen,Trang T. T. Do,Cao Truong Tran,Colin R Simpson +7 more
TL;DR: A wide and deep learning model is applied that combines the strength of a generalised linear model with various features and a deep feed-forward neural network to improve the prediction of the onset of type 2 diabetes mellitus (T2DM).
Journal ArticleDOI
Effect of a comprehensive deep-learning model on the accuracy of chest x-ray interpretation by radiologists: a retrospective, multireader multicase study
Jarrel Seah,Cyril H M Tang,Quinlan D. Buchlak,Xavier G Holt,Jeffrey B Wardman,Anuar Aimoldin,Nazanin Esmaili,Nazanin Esmaili,Hassan Ahmad,Hung N. Pham,John F Lambert,Ben Hachey,Stephen J F Hogg,Benjamin P Johnston,Christine Bennett,Luke Oakden-Rayner,Peter Brotchie,Catherine M Jones +17 more
TL;DR: In this paper, a deep learning model was trained on 821 681 images (284 649 patients) from five data sets from Australia, Europe, and the USA to assess the accuracy of radiologists with and without the assistance of a deep-learning model.
Proceedings ArticleDOI
Breast Cancer Prediction using Feature Selection and Ensemble Voting
Quang H. Nguyen,Trang T. T. Do,Yijing Wang,Sin Swee Heng,Kelly Chen,Wei Hao Max Ang,Conceicao Edwin Philip,Misha Singh,Hung N. Pham,Binh P. Nguyen,Matthew Chin Heng Chua +10 more
TL;DR: Based on results of the precision and recall, ROC-AVC, Fl-measure and computational time of the models, the Ensemble showed the most potential in breast cancer classification of the given dataset.
Proceedings ArticleDOI
Music Genre Classification using Residual Attention Network
Quang H. Nguyen,Trang T. T. Do,Thanh B. Chu,Loan V. Trinh,Dung H. Nguyen,Cuong V. Phan,Tuan A. Phan,Dung V. Doan,Hung N. Pham,Binh P. Nguyen,Matthew Chin Heng Chua +10 more
TL;DR: Through the integration of attention mechanism and stacking attention modules, RAN has shown efficiency in the field of image processing and is proposed to be used in music genre classification by using the Residual Attention Network.
Proceedings ArticleDOI
Lesion Segmentation and Automated Melanoma Detection using Deep Convolutional Neural Networks and XGBoost
Hung N. Pham,Chin Yang Koay,Tanmoy Chakraborty,Sudhanshu Gupta,Boon Leong Tan,Huaqing Wu,Apurva Vardhan,Quang H. Nguyen,Nirmal Raja Palaparthi,Binh P. Nguyen,Matthew Chin Heng Chua +10 more
TL;DR: A deep learning approach to model lesion patterns with the goal of performing automated melanoma detection and lesion segmentation from skin images is proposed and the proposed method ranked 5th in classification and 8th in segmentation among 23 and 21 international teams, respectively.