2 citations · 2 across the 4 of their papers we have counts for
4 papers
Frequency Adapter with SAM for Generalized Medical Image Segmentation
Phuoc-Nguyen Bui, Van-Nguyen Pham, Duc-Tai Le +2
Medical image segmentation is a critical task in computer-aided diagnosis and treatment planning. However, deep learning models often struggle to generalize across datasets due to…
Representation Learning with Semantic-aware Instance and Sparse Token Alignments
Phuoc-Nguyen Bui, Toan Duc Nguyen, Junghyun Bum +2
Medical contrastive vision-language pre-training (VLP) has demonstrated significant potential in improving performance on downstream tasks. Traditional approaches typically employ…
Multi-scale Feature Enhancement in Multi-task Learning for Medical Image Analysis
Phuoc-Nguyen Bui, Duc-Tai Le, Junghyun Bum +1
Traditional deep learning methods in medical imaging often focus solely on segmentation or classification, limiting their ability to leverage shared information. Multi-task learnin…
Cross Feature Fusion of Fundus Image and Generated Lesion Map for Referable Diabetic Retinopathy Classification
Dahyun Mok, Junghyun Bum, Le Duc Tai +1
Diabetic Retinopathy (DR) is a primary cause of blindness, necessitating early detection and diagnosis. This paper focuses on referable DR classification to enhance the applicabili…