在本研究中，我们使用了名为“chest ct”的数据集，以训练和改进YOLOv8-seg模型，旨在实现胸部CT图像的高效分割。该数据集的构建和选择至关重要，因为它直接影响到模型的性能和分割精度。数据集包含了多种胸部CT图像，经过精心标注，确保了数据的质量和可靠 ...

Dr George Owiti, a radiographer at Kericho County Hospital examines the Chest CT results of a patient admitted to the hospital. [James Wanzala, Standard] Despite recent breakthroughs that have ...

Boston, MA 02215, USA; taraki{at}partners.org Objective To investigate the prevalence and natural course of pulmonary cysts in a population-based cohort and to describe the CT image characteristics in ...

A new deep learning model shows promise in detecting and segmenting lung tumors, according to a study published today in ...

She had no history of smoking, allergy or respiratory disorders. Chest X-ray demonstrated bilateral upper lung predominant consolidation (figure 1A). Chest CT revealed extensive upper lobe predominant ...

gmail.com Objectives To assess the diagnostic accuracy of chest CT in clinically suspected patients with COVID-19 using reverse transcriptase PCR (RT-PCR) as the reference standard and establish the ...

But as a precaution an ear, nose and throat specialist had ordered a CT scan of Schnure’s chest. While preparing for sinus surgery, Schnure had a CT scan of his head that was approved by his ...

Lung cancer screening — a test that looks for possible cancer before you have symptoms — offers hope for early detection, when surgery is a potential cure. A low-dose helical computed tomography (CT) ...

Single-phase CNN accuracies for Global Initiative for Chronic Obstructive Lung Disease (GOLD ... "Although inspiratory CT remains the clinical standard, our findings suggest expiratory CT may ...