If your doctor thinks you might have lung cancer -- for instance, because you have a long-lasting cough or wheezing -- you’ll get a chest X-ray or other imaging tests. You may also need to cough up phlegm for a sputum test. If either of these tests suggest that you could have ca...
The dataset (free-access dataset in the Kaggle library) used are X-rays images of lungs previously diagnosed with the pathologies of COVID-19 and Pneumonia, and in addition, reference images of healthy lungs. Because the database used contains images from different sources, the dimensions are ...
In medical imaging, the last decade has witnessed a remarkable increase in the availability and diversity of chest X-ray (CXR) datasets. Concurrently, ther
Do you have healthy lungs. Portrait of a doctor of the therapist. Confident doctor holding an x-ray of the lungs and looks at the camera while standing in the hospital in a white coat.,站酷海洛,一站式正版视觉内容平台,站酷旗下品牌.授权内容包含正版商业图片
The automatic segmentation of the lung region for chest X-ray (CXR) can help doctors diagnose many lung diseases. However, extreme lung shape changes and fuzzy lung regions caused by serious lung diseases may incorrectly make the automatic lung segmentat
The exact images at end-inspiratory or end-expiratory phases can be chosen accurately. Purpose To investigate the correlation of the projected lung area (PLA) by dynamic chest X-ray with pulmonary functions. Material and Methods One hundred sixty-two healthy volunteers who received medical check-...
Photo about Woman Doctor Looking at X-Ray Radiography in patient s Room. Image of adult, caucasian, healthy - 28195238
Joseph Cohen[8], images from the Radiopedia encyclopedia1 and healthy CXR images from the NIH dataset, also known as Chest X-ray14 [9]. The distribution of classes reflect a real world scenario in which healthy cases are the majority, followed by viral pneumonia, bacterial and fungi ...
Due to the recent outbreak of novel coronavirus pneumonia, novel chest X-ray (CXR) images that can be used for deep learning analysis are very rare. To solve this problem, we propose a deep learning framework that integrates a convolutional neural network and a capsule network. DenseCapsNet, ...
of soft tissue from another. A couple exceptions include the lungs as well as fat, both of which have unique densities owing to the presence of air or bulk hydrocarbons, respectively. In order to facilitate X-ray CT imaging of other structures, a range of contrast agents have been developed...