Lung segmentation and automatic detection of COVID-19 using radiomic features from chest CT images
This paper aims to develop an automatic method to segment pulmonary parenchyma in
chest CT images and analyze texture features from the segmented pulmonary parenchyma …
chest CT images and analyze texture features from the segmented pulmonary parenchyma …
Imagecas: A large-scale dataset and benchmark for coronary artery segmentation based on computed tomography angiography images
Cardiovascular disease (CVD) accounts for about half of non-communicable diseases.
Vessel stenosis in the coronary artery is considered to be the major risk of CVD. Computed …
Vessel stenosis in the coronary artery is considered to be the major risk of CVD. Computed …
ST-V-Net: incorporating shape prior into convolutional neural networks for proximal femur segmentation
We aim to develop a deep-learning-based method for automatic proximal femur
segmentation in quantitative computed tomography (QCT) images. We proposed a spatial …
segmentation in quantitative computed tomography (QCT) images. We proposed a spatial …