In this study, we developed a lightweight and rapid convolutional neural network (CNN) architecture for chest X-ray images; it primarily consists of a redesigned feature extraction (FE) module and ...
Chest X-ray is widely used to diagnose lung diseases. Due to the demand for accelerating analysis and interpretation to reduce the workload of radiologists, there has been a growing interest in ...
In a study of more than 2,000 chest X-rays, radiologists outperformed AI in accurately identifying the presence and absence of three common lung diseases, according to a study published in Radiology, ...
X-rays can help doctors identify TB infections. They look for specific characteristics in these images to make a diagnosis. TB is an infectious disease that primarily affects the lungs, although it ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results