1 citations · 2 across the 4 of their papers we have counts for
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…
MedConv: Convolutions Beat Transformers on Long-Tailed Bone Density Prediction
Xuyin Qi, Zeyu Zhang, Huazhan Zheng +19
Bone density prediction via CT scans to estimate T-scores is crucial, providing a more precise assessment of bone health compared to traditional methods like X-ray bone density tes…
PathoHR: Breast Cancer Survival Prediction on High-Resolution Pathological Images
Yang Luo, Shiru Wang, Jun Liu +7
Breast cancer survival prediction in computational pathology presents a remarkable challenge due to tumor heterogeneity. For instance, different regions of the same tumor in the pa…