Chest X-Ray image quality evaluation relies on clinicians' judgment with clinical guidelines
and expertise. Recently, the deep learning model for disease diagnosis has been made …

인공지능 기술 발전으로, 의료영상 분야에서도 딥러닝 기반 질병 진단 연구가 활발히 진행되고
있다. 딥러닝 모델 개발 시, 학습 데이터 품질은 모델의 성능과 신뢰성에 매우 큰 영향을 미친다 …

The quality of a chest X-ray image or radiograph, which is widely used in clinics, is a very
important factor affects doctors' clinical decision making. Since there is no chest X-ray image …

Chest X-ray is radiological examination for xeamining the lungs and haert, and is particularly
widely used for diagnosing lung disease. Since the quality of these chest X-rays can affect …

Background: Chest radiography is the most frequently performed examinations in the
department of radiology. The image quality plays an essential role in further decision making …

In clinical applications, the task of medical image quality assessment is done by radiologists
and the existence of subjective factors leads to unstable the accuracy of the assessment …

Background: Chest X-ray (CXR) imaging is the most common examination; however, no
automatic quality assurance (QA) system using deep learning (DL) has been established for …

Objective: To explore the application value of convolution neural network in quality control
(QC) of chest digital radiology (DR) images. Methods: We classified and labeled 1618 chest …

Chest X-rays are among the most common modalities in medical imaging. Technical flaws of
these images, such as over-or under-exposure or wrong positioning of the patients can …

The quality of a chest X-ray image or radiograph, which is widely used in clinics, is a very
important factor affects doctors' clinical decision making. Since there is no chest X-ray image …