A polymorphic training approach is proposed, in which both specifically labeled left and right lungs of humans with COPD, and nonspecifically labeled lungs of animals with acute lung injury, were incorporated into training a single neural network. The resulting network is intended for predicting left...
Manual annotation of medical image datasets is labor-intensive and prone to biases. Moreover, the rate at which image data accumulates significantly outpaces the speed of manual annotation, posing a challenge to the advancement of machine learning, particularly in the realm of supervised learning. S...
We aimed to examine the characteristics of imaging findings of adenocarcinoma in situ (AIS) and minimally invasive adenocarcinoma (MIA) in the lungs of smokers compared with those of non-smokers. We included seven cases of AIS and 20 cases of MIA in lung
Learning-Based Multi-atlas Segmentation of the Lungs and Lobes in Proton MR Images Hoileong Lee, Tahreema Matin, Fergus Gleeson, Vicente Grau Pages 108-115 Unsupervised Discovery of Spatially-Informed Lung Texture Patterns for Pulmonary Emphysema: The MESA COPD Study ...
1. Introduction Bronchial airways in the lungs of a human body constantly open and narrow due to the action of various respiratory muscles as the person breaths. To maintain health, it is critically important to keep the airways' lumen open so that air can be transported through the conducting...
PROBLEM TO BE SOLVED: To provide a medical image processor and the like capable of supporting normality/abnormality evaluation of lungs by presenting a new diagnostic index which has not been present in the past when diagnosing images of COPD or the like.SOLUTION: The medical image processor ...
Mean lung dose was 9.4Gy (range: 5.3-11.6Gy) and V20 for both lungs was 15% (range: 6-19%). Mean esophageal dose was 12.76Gy (range: 2.1-26.7Gy). There was no case of grade 2 or higher radiation pneumonitis. Four patients developed grade 2 radiation esophagitis.Hypo-IGRT can be ...
significantly improving the system’s overall performance. Research studies confirm the device’s high energy efficiency while maintaining the accuracy of the classification of lung disease using the LightGBM algorithm. This solution enables long-term patient monitoring and precise diagnosis with reduced ene...
Interestingly, sliding in the lung fissures has been detected from computed-tomography (CT) images of the lungs using DIR methods, where supraphysiological levels of shearing deformation colocalize with the fissures [23]. While useful for anatomy detection purposes, no regional tissue distortion is ...