7 citations · 16 across the 3 of their papers we have counts for
3 papers
RaBiT: An Efficient Transformer using Bidirectional Feature Pyramid Network with Reverse Attention for Colon Polyp Segmentation
Nguyen Hoang Thuan, Nguyen Thi Oanh, Nguyen Thi Thuy +2
Automatic and accurate segmentation of colon polyps is essential for early diagnosis of colorectal cancer. Advanced deep learning models have shown promising results in polyp segme…
UGCANet: A Unified Global Context-Aware Transformer-based Network with Feature Alignment for Endoscopic Image Analysis
Pham Vu Hung, Nguyen Duy Manh, Nguyen Thi Oanh +2
Gastrointestinal endoscopy is a medical procedure that utilizes a flexible tube equipped with a camera and other instruments to examine the digestive tract. This minimally invasive…
ColonFormer: An Efficient Transformer based Method for Colon Polyp Segmentation
Nguyen Thanh Duc, Nguyen Thi Oanh, Nguyen Thi Thuy +2
Identifying polyps is challenging for automatic analysis of endoscopic images in computer-aided clinical support systems. Models based on convolutional networks (CNN), transformers…