Here, we introduce a model for classifying thoracic diseases using this chest X-ray images dataset. In addition, we discuss how to reduce the computational time required for training, by using ...

Description: A CPU-friendly pipeline for automated pneumonia detection on chest X-ray images, combining classical preprocessing (OpenCV) with a transfer-learned ResNet-50 model (TensorFlow/Keras).

On average chest circumference was reduced by the binder. There was no average change in thoracic kyphosis due to high variability. Conclusions Transgender individuals using chest binders have ...

Chest radiographs of 101 patients with chronic airflow obstruction were assessed for evidence of over-inflation (increased retrosternal space, low diaphragm, and increased total lung capacity), ...