2 papers
eess.IV2025
LiteNeXt: A Novel Lightweight ConvMixer-based Model with Self-embedding Representation Parallel for Medical Image Segmentation
Ngoc-Du Tran, Thi-Thao Tran, Quang-Huy Nguyen +2
The emergence of deep learning techniques has advanced the image segmentation task, especially for medical images. Many neural network models have been introduced in the last decad…
cs.CV2024
MambaU-Lite: A Lightweight Model based on Mamba and Integrated Channel-Spatial Attention for Skin Lesion Segmentation
Thi-Nhu-Quynh Nguyen, Quang-Huy Ho, Duy-Thai Nguyen +3
Early detection of skin abnormalities plays a crucial role in diagnosing and treating skin cancer. Segmentation of affected skin regions using AI-powered devices is relatively comm…