5 citations · 9 across the 5 of their papers we have counts for
3 papers · 1 filter
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…
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…
1M parameters are enough? A lightweight CNN-based model for medical image segmentation
Binh-Duong Dinh, Thanh-Thu Nguyen, Thi-Thao Tran +1
Convolutional neural networks (CNNs) and Transformer-based models are being widely applied in medical image segmentation thanks to their ability to extract high-level features and…