Tri-Cong Pham

Improving Skin-Disease Classification Based on Customized Loss Function Combined With Balanced Mini-Batch Logic and Real-Time Image Augmentation

Van-Dung Hoang, Tri-Cong Pham, Chi-Mai Luong, 2020, IEEE Access.

AI outperformed every dermatologist: Improved dermoscopic melanoma diagnosis through customizing batch logic and loss function in an optimized Deep CNN architecture pdf

Antoine Doucet, Van-Dung Hoang, Tri-Cong Pham, 2020, ArXiv.

A New Feature Selection and Classification Approach for Optimizing Breast Cancer Subtyping Based on Gene Expression

C. Luong, Van-Dung Hoang, Tran-Tien Bui, 2021 .

Deep CNN and Data Augmentation for Skin Lesion Classification

Van-Dung Hoang, Muriel Visani, Tri-Cong Pham, 2018, ACIIDS.

Improving binary skin cancer classification based on best model selection method combined with optimizing full connected layers of Deep CNN

Antoine Doucet, Van Dung Hoang, Tri Cong Pham, 2020, 2020 International Conference on Multimedia Analysis and Pattern Recognition (MAPR).

AI outperformed every dermatologist in dermoscopic melanoma diagnosis, using an optimized deep-CNN architecture with custom mini-batch logic and loss function

C. Luong, A. Doucet, Van-Dung Hoang, 2021, Scientific Reports.

A Comparative Study for Classification of Skin Cancer

Antoine Doucet, Giang Son Tran, Van-Dung Hoang, 2019, 2019 International Conference on System Science and Engineering (ICSSE).