7 citations · 23 across the 23 of their papers we have counts for
9 papers · 1 filter
KDAS: Knowledge Distillation via Attention Supervision Framework for Polyp Segmentation
Quoc-Huy Trinh, Minh-Van Nguyen, Phuoc-Thao Vo Thi
Polyp segmentation, a contentious issue in medical imaging, has seen numerous proposed methods aimed at improving the quality of segmented masks. While current state-of-the-art tec…
Validating polyp and instrument segmentation methods in colonoscopy through Medico 2020 and MedAI 2021 Challenges
Debesh Jha, Vanshali Sharma, Debapriya Banik +30
Automatic analysis of colonoscopy images has been an active field of research motivated by the importance of early detection of precancerous polyps. However, detecting polyps durin…
M^2UNet: MetaFormer Multi-scale Upsampling Network for Polyp Segmentation
Quoc-Huy Trinh, Nhat-Tan Bui, Trong-Hieu Nguyen Mau +4
Polyp segmentation has recently garnered significant attention, and multiple methods have been formulated to achieve commendable outcomes. However, these techniques often confront…
Meta-Polyp: a baseline for efficient Polyp segmentation
Quoc-Huy Trinh
In recent years, polyp segmentation has gained significant importance, and many methods have been developed using CNN, Vision Transformer, and Transformer techniques to achieve com…
Multi Kernel Positional Embedding ConvNeXt for Polyp Segmentation
Trong-Hieu Nguyen Mau, Quoc-Huy Trinh, Nhat-Tan Bui +2
Medical image segmentation is the technique that helps doctor view and has a precise diagnosis, particularly in Colorectal Cancer. Specifically, with the increase in cases, the dia…
EfficientNet for Brain-Lesion classification
Quoc-Huy Trinh, Trong-Hieu Nguyen Mau, Radmir Zosimov +1
In the development of technology, there are increasing cases of brain disease, there are more treatments proposed and achieved a positive result. However, with Brain-Lesion, the ea…