753 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Vietnam National University Ho Chi Minh CityVN125 papers
- Ho Chi Minh City University of EducationVN14 papers
- Ho Chi Minh City University of TechnologyVN13 papers
- Ton Duc Thang UniversityVN12 papers
- Duy Tan UniversityVN11 papers
- Vietnam Academy of Science and TechnologyVN11 papers
- Institute for Nuclear Science and TechnologyVN9 papers
- Ho Chi Minh City International UniversityVN8 papers
- University of Medicine and Pharmacy at Ho Chi Minh CityVN8 papers
- Institute for Basic ScienceKR7 papers
- University of DaytonUS7 papers
- Viện Vật lýVN7 papers
8 papers · 1 filter
Recent Advances in Medical Image Classification
Loan Dao, Ngoc Quoc Ly
Medical image classification is crucial for diagnosis and treatment, benefiting significantly from advancements in artificial intelligence. The paper reviews recent progress in the…
A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks
Loan Dao, Ngoc Quoc Ly
Over the past decade, Medical Image Segmentation (MIS) using Deep Neural Networks (DNNs) has achieved significant performance improvements and holds great promise for future develo…
Efficient 3D Brain Tumor Segmentation with Axial-Coronal-Sagittal Embedding
Tuan-Luc Huynh, Thanh-Danh Le, Tam V. Nguyen +2
In this paper, we address the crucial task of brain tumor segmentation in medical imaging and propose innovative approaches to enhance its performance. The current state-of-the-art…
StarSRGAN: Improving Real-World Blind Super-Resolution
Khoa D. Vo, Len T. Bui
The aim of blind super-resolution (SR) in computer vision is to improve the resolution of an image without prior knowledge of the degradation process that caused the image to be lo…
SegTransVAE: Hybrid CNN -- Transformer with Regularization for medical image segmentation
Quan-Dung Pham, Hai Nguyen-Truong, Nam Nguyen Phuong +1
Current research on deep learning for medical image segmentation exposes their limitations in learning either global semantic information or local contextual information. To tackle…
Custom Deep Neural Network for 3D Covid Chest CT-scan Classification
Quoc Huy Trinh, Minh Van Nguyen
3D CT-scan base on chest is one of the controversial topisc of the researcher nowadays. There are many tasks to diagnose the disease through CT-scan images, include Covid19. In thi…
Water Level Estimation Using Sentinel-1 Synthetic Aperture Radar Imagery And Digital Elevation Models
Thai-Bao Duong-Nguyen, Thien-Nu Hoang, Phong Vo +1
Hydropower dams and reservoirs have been identified as the main factors redefining natural hydrological cycles. Therefore, monitoring water status in reservoirs plays a crucial rol…
Context Learning for Bone Shadow Exclusion in CheXNet Accuracy Improvement
Minh-Chuong Huynh, Trung-Hieu Nguyen, Minh-Triet Tran
Chest X-ray examination plays an important role in lung disease detection. The more accuracy of this task, the more experienced radiologists are required. After ChestX-ray14 datase…