Chest x-ray study is shown.- + silhouette sign - Focal area of consolidation by right heart - Fluid in horizontal fissure • Dx: RML pneumonia• A 58-year old man is being evaluated in the intensive care unit. Two days ago, he was in a high speed car accident, and was treated ...
identified radiology reports31. The NIH released ChestX-ray14 (originally ChestX-ray8), a collection of 112,120 frontal chest radiographs from 30,805 distinct patients with 14 binary labels indicating existence pathology or lack of pathology32. A total of 224,316 chest radiographs for 65,240 p...
Chest radiography (chest X-ray or CXR) is an economical and easy-to-use medical imaging and diagnostic technique. The technique is the most commonly used diagnostic tool in medical practice and has an important role in the diagnosis of the lung disease [1]. Well-trained radiologists use chest...
Chest radiography (chest X-ray or CXR) is an economical and easy-to-use medical imaging and diagnostic technique. The technique is the most commonly used diagnostic tool in medical practice and has an important role in the diagnosis of the lung disease [1]. Well-trained radiologists use chest...
A well-centered x-ray beam, lack of rotation, and exclusion of the scapulae from the field of view are essential for adequate positioning. The distance between the medial ends of the clavicles (anterior structures) and the spinous processes of the thoracic vertebrae (posterior structures) are ...
Retrosternal dislocation of the clavicle: early recognition, x-ray diagnosis and management. J Bone Joint Surg Am 1968;50:830. Google Scholar Hobbs DW. Sternoclavicular joint: a new axial radiographic view. Radiology 1968;90:801. CAS PubMed Google Scholar Howard FM, Shafer SJ. Injuries to...
Kvak D, Chromcová A, Biroš M, Hrubý R, Kvaková K, Pajdaković M, Ovesná P. Chest X-ray Abnormality Detection by Using Artificial Intelligence: A Single-Site Retrospective Study of Deep Learning Model Performance.BioMedInformatics. 2023; 3(1):82-101. https://doi.org/10.3390/bi...
Most tools for chest X-ray analysis have the immanent problem that they only take the anterior-posterior image into account for decision making. The radiologists, also considering the lateral view, has thus an additional source of information in ambiguous cases. In our study, we found the ...
were able to demonstrate rib fractures using US in 18 of 20 patients who were not diagnosed by X-ray [6]. Similar results were obtained by Griffith et al., who showed that, in 50 patients, the combination of chest X-ray and oblique rib view was capable of diagnosing only 10% of rib...
[29] proposed the GoogleNet architecture to classify the CXRs into frontal and lateral. Chaudhary et al. [30] use the CNN-based deep learning model with three convolution layers, ReLU activation, pooling, and fully connected layers to diagnose pulmonary diseases from the NIH Chest X-ray14 ...