Eleven XCAT phantoms of varying anatomy were used in this paper. The lung lobes and initial branches of the airways, pulmonary arteries, and veins were previously defined in each XCAT model. These ...

For the retrospective study, an ensemble 3D U-Net deep learning model was trained for lung tumor detection and segmentation using 1,504 CT scans with 1,828 segmented lung tumors. The model was ...

The lungs are divided into sections called lobes. There are 2 lobes in the left lung and 3 in the right lung. The operation to remove the whole lung is called a pneumonectomy (new-mon-ek-tom-ee). Your ...

An artificial intelligence (AI) model that can estimate with high accuracy a person's lung function just by using a chest radiograph has been successfully developed. If there is one medical exam ...

Human Lung Chip leveraged to faithfully model radiation-induced lung injury Date: October 17, 2023 Source: Wyss Institute for Biologically Inspired Engineering at Harvard Summary: Researchers have ...

The Lung Chip model that we developed to recapitulate development of RILI leverages our extensive microfluidic Organ Chip culture expertise and, in combination with new analytical and ...

Using just people’s age, smoking duration and pack-years of smoking was enough to predict their risk of lung cancer and identify their need for screening A machine learning model equipped with ...

A team from Cleveland Clinic has developed a new model for prioritizing patients waiting for a lung transplant, aimed at improving outcomes and reducing deaths among those in need of donor lungs.

However, the traditional way of dividing lung parenchyma into rectangular ... ROIs cannot reflect the true lobar anatomy. This study aimed to use SPECT/CT with a lobar segmentation-based V-Net ...

For some patients with non-small cell lung cancer, removing part of the lobe rather than the entire lobe still provides benefit, study results show. Patients with stage 1A non-small cell lung cancer ...