4 papers
SegTTA: Training-Free Test-Time Augmentation for Zero-Shot Medical Imaging Segmentation
Yihong Yao, Chunlei Li, Canxuan Gang +4
Increasingly advanced data augmentation techniques have greatly aided clinical medical research, increasing data diversity and improving model generalization capabilities. Although…
MediAug: Exploring Visual Augmentation in Medical Imaging
Xuyin Qi, Zeyu Zhang, Canxuan Gang +4
Data augmentation is essential in medical imaging for improving classification accuracy, lesion detection, and organ segmentation under limited data conditions. However, two signif…
3D Medical Imaging Segmentation on Non-Contrast CT
Canxuan Gang, Yuhan Peng
This technical report analyzes non-contrast CT image segmentation in computer vision. It revisits a proposed method, examines the background of non-contrast CT imaging, and highlig…
A Novel Convolutional-Free Method for 3D Medical Imaging Segmentation
Canxuan Gang
Segmentation of 3D medical images is a critical task for accurate diagnosis and treatment planning. Convolutional neural networks (CNNs) have dominated the field, achieving signifi…