Although deep learning prediction models have been successful in the
dis...
Efficiently quantifying renal structures can provide distinct spatial co...
Purpose: To present a method that automatically segments and quantifies
...
The Coronavirus Disease (COVID-19) has affected 1.8 million people and
r...
Purpose: To present a method that automatically detects and quantifies
a...
With the injection of contrast material into blood vessels, multi-phase
...
Detailed whole brain segmentation is an essential quantitative technique...
Though large-scale datasets are essential for training deep learning sys...
The performance of medical image analysis systems is constrained by the
...
The findings of splenomegaly, abnormal enlargement of the spleen, is a
n...
A key limitation of deep convolutional neural networks (DCNN) based imag...
Whole brain segmentation on a structural magnetic resonance imaging (MRI...
An abdominal ultrasound examination, which is the most common ultrasound...
Skip connections in deep networks have improved both segmentation and
cl...
A lack of generalizability is one key limitation of deep learning based
...
Spleen volume estimation using automated image segmentation technique ma...
Automatic localization and labeling of vertebra in 3D medical images pla...