4 citations · 4 across the 3 of their papers we have counts for
4 papers
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…
Trans2Unet: Neural fusion for Nuclei Semantic Segmentation
Dinh-Phu Tran, Quoc-Anh Nguyen, Van-Truong Pham +1
Nuclei segmentation, despite its fundamental role in histopathological image analysis, is still a challenge work. The main challenge of this task is the existence of overlapping ar…
AC-MAMBASEG: An adaptive convolution and Mamba-based architecture for enhanced skin lesion segmentation
Viet-Thanh Nguyen, Van-Truong Pham, Thi-Thao Tran
Skin lesion segmentation is a critical task in computer-aided diagnosis systems for dermatological diseases. Accurate segmentation of skin lesions from medical images is essential…
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…