1.1k citations · 1.5k across the 4 of their papers we have counts for
4 papers
Transformers Improve Breast Cancer Diagnosis from Unregistered Multi-View Mammograms
Xuxin Chen, Ke Zhang, Neman Abdoli +5
Deep convolutional neural networks (CNNs) have been widely used in various medical imaging tasks. However, due to the intrinsic locality of convolution operation, CNNs generally ca…
Virtual Adversarial Training for Semi-supervised Breast Mass Classification
Xuxin Chen, Ximin Wang, Ke Zhang +7
This study aims to develop a novel computer-aided diagnosis (CAD) scheme for mammographic breast mass classification using semi-supervised learning. Although supervised deep learni…
Recent advances and clinical applications of deep learning in medical image analysis
Xuxin Chen, Ximin Wang, Ke Zhang +7
Deep learning has received extensive research interest in developing new medical image processing algorithms, and deep learning based models have been remarkably successful in a va…
Improving performance of CNN to predict likelihood of COVID-19 using chest X-ray images with preprocessing algorithms
Morteza Heidari, Seyedehnafiseh Mirniaharikandehei, Abolfazl Zargari Khuzani +3
As the rapid spread of coronavirus disease (COVID-19) worldwide, chest X-ray radiography has also been used to detect COVID-19 infected pneumonia and assess its severity or monitor…