An infant with Down′s syndrome was noted to have hypoxemia and tachypnea at birth. The clinical examination, electrocardiogram (ECG) and the chest X-ray findings suggested a specific diagnosis that is not usually associated with Down′s ...
Upadhyay Shailendra+2 more
doaj +5 more sources
Diagnosis and precise localization of cardiomegaly disease using U-NET
This study examines an end-to-end technique which uses a Deep Convolutional Neural Network U-Net based architecture to detect Cardiomegaly disease. The learning phase is achieved by using Chest X-ray images extracted from the “ChestX-ray8” open source ...
Abdelilah Bouslama+2 more
doaj +3 more sources
Background Chest radiographs can identify important abnormalities in patients undergoing diagnostic evaluation for cardiovascular diseases. Cardiomegaly often reflects cardiac chamber dilation, or cardiac muscle hypertrophy, or both conditions.
Benjamin Daines+8 more
doaj +2 more sources
The Association of Salivary Conductivity with Cardiomegaly in Hemodialysis Patients
Patients on maintenance hemodialysis are at high risk for cardiovascular morbidity and mortality. Fluid overload is generally regarded as the main cause of cardiovascular death among them.
An-Ting Lee+6 more
doaj +2 more sources
Chest X-Ray Image Analysis With Combining 2D and 1D Convolutional Neural Network Based Classifier for Rapid Cardiomegaly Screening [PDF]
Cardiomegaly is an asymptomatic disease. Symptoms, such as palpitations, chest tightness, and shortness of breath, may be the early indications of cardiac hypertrophy, which can be divided into cardiac hypertrophy and ventricular enlargement.
Jian‐Xing Wu+5 more
openalex +2 more sources
Familial Idiopathic Cardiomegaly [PDF]
Two young adult sisters are described with clinical and pathologic findings of myocardial disease. These cases along with a suggestive family history are presented as examples of familial idiopathic cardiomegaly. Pathologic findings are compared and contrasted with those in the literature, and etiologic concepts are discussed.
Wayne H. Schrader+3 more
openalex +4 more sources
Evaluation of the feasibility of explainable computer-aided detection of cardiomegaly on chest radiographs using deep learning [PDF]
We examined the feasibility of explainable computer-aided detection of cardiomegaly in routine clinical practice using segmentation-based methods. Overall, 793 retrospectively acquired posterior–anterior (PA) chest X-ray images (CXRs) of 793 patients ...
Mu Sook Lee+7 more
openalex +2 more sources
Vertebral Heart Score and Vertebral Left Atrial Size as Radiographic Measurements for Cardiac Size in Dogs—A Literature Review [PDF]
Radiology plays an important role in veterinary cardiology, along with other methods, such as electrocardiography, echocardiography, and biomarkers, in the diagnosis of cardiac diseases.
Radu Andrei Baisan, Vasile Vulpe
doaj +2 more sources
Deep Learning Models for Calculation of Cardiothoracic Ratio from Chest Radiographs for Assisted Diagnosis of Cardiomegaly [PDF]
We propose an automated method based on deep learning to compute the cardiothoracic ratio and detect the presence of cardiomegaly from chest radiographs.
Tanveer Gupte+5 more
openalex +3 more sources
Cardiomegaly Detection on Chest Radiographs: Segmentation Versus Classification
In this study, we investigate the detection of cardiomegaly on frontal chest radiographs through two alternative deep-learning approaches - via anatomical segmentation and via image-level classification.
Ecem Sogancioglu+5 more
doaj +2 more sources