1 citations · 1 across the 2 of their papers we have counts for
3 papers
Developing a Machine Learning-Based Clinical Decision Support Tool for Uterine Tumor Imaging
Darryl E. Wright, Adriana V. Gregory, Deema Anaam +14
Uterine leiomyosarcoma (LMS) is a rare but aggressive malignancy. On imaging, it is difficult to differentiate LMS from, for example, degenerated leiomyoma (LM), a prevalent but be…
Role of Image Acquisition and Patient Phenotype Variations in Automatic Segmentation Model Generalization
Timothy L. Kline, Sumana Ramanathan, Harrison C. Gottlich +2
Purpose: This study evaluated the out-of-domain performance and generalization capabilities of automated medical image segmentation models, with a particular focus on adaptation to…
Realistic Ultrasound Image Synthesis for Improved Classification of Liver Disease
Hui Che, Sumana Ramanathan, David Foran +3
With the success of deep learning-based methods applied in medical image analysis, convolutional neural networks (CNNs) have been investigated for classifying liver disease from ul…