12 citations · 34 across the 12 of their papers we have counts for
4 papers · 1 filter
FAN-Unet: Enhancing Unet with vision Fourier Analysis Block for Biomedical Image Segmentation
Jiashu Xu
Medical image segmentation is a critical aspect of modern medical research and clinical practice. Despite the remarkable performance of Convolutional Neural Networks (CNNs) in this…
Med-TTT: Vision Test-Time Training model for Medical Image Segmentation
Jiashu Xu
Medical image segmentation plays a crucial role in clinical diagnosis and treatment planning. Although models based on convolutional neural networks (CNNs) and Transformers have ac…
HC-Mamba: Vision MAMBA with Hybrid Convolutional Techniques for Medical Image Segmentation
Jiashu Xu
Automatic medical image segmentation technology has the potential to expedite pathological diagnoses, thereby enhancing the efficiency of patient care. However, medical images ofte…
Self-supervised Model Based on Masked Autoencoders Advance CT Scans Classification
Jiashu Xu, Sergii Stirenko
The coronavirus pandemic has been going on since the year 2019, and the trend is still not abating. Therefore, it is particularly important to classify medical CT scans to assist i…