Modified YOLOv4-DenseNet Algorithm for Detection of Ventricular Septal Defects in Ultrasound Images
نویسندگان
چکیده
منابع مشابه
Detection of Small Ventricular Septal Defects
was demonstrated by both methods in 10. However, in one case, the indicator curve showed a left-to-right shunt whereas selective left ventricular cineangiography failed to demonstrate it. Conversely, in two other cases, selective left ventricular cineangiography demonstrated a small ventricular septal defect while a normal culve was obtained by indicator-dilution technique. Comparing our experi...
متن کاملVentricular Septal Defects
An analysis was made of the 23 cases of isolated ventricular septal defects seen at autopsy over a 20year period at a children's hospital. All of the deaths occurred during the first 15 months of life. In addition to the clinical and morphologic findings, cardiac catheterization data obtained on 6 of the infants are presented. A wide range of electrocardiographic variation with respect to ventr...
متن کاملVentricular septal defects.
Ventricular septal defects are the most common congenital heart defect. They vary greatly in location, clinical presentation, associated lesions, and natural history. The present article describes the clinical aspects of ventricular septal defects and current management strategies.
متن کاملVentricular septal defects in adults.
Ventricular septal defects are one of the most common congenital cardiac malformations and can be associated with many types of congenital and acquired heart disease.
متن کاملClassification of ventricular septal defects.
A classification with clinical significance is proposed for ventricular septal defect based on the study of 220 hearts with defects of the ventricular septum. All had atrioventricular and ventriculoarterial concordance with normal relations of cardiac structure. For the purpose of classification, the ventricular septum was considered as possessing muscular and membranous portions, the muscular ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Interactive Multimedia and Artificial Intelligence
سال: 2021
ISSN: ['1989-1660']
DOI: https://doi.org/10.9781/ijimai.2021.06.001