… A deep learning–based computer-aided detection system improved the diagnostic yield
for newly visible metastasis on chest radiographs in patients with cancer with a similar false-…

… In addition, AI may help referring clinicians with chest radiography in daily practice [6,7]. An
… a chest radiograph. In such situations, the medical decision made with radiography is based …

… DLD system, it could analyze one chest radiograph … system accurately classified chest
radiographs with four abnormal classes as normal or abnormal. Furthermore, our system detected …

… chest radiography CAD system, we used a deep learning–based detection (DLD) system to
… most important extrapulmonary findings on chest radiographs without overlap in selected …

Objective To describe the experience of implementing a deep learning-based computer-aided
detection (CAD) system for the interpretation of chest X-ray radiographs (CXR) of …

… systems requiring images and annotations of target diseases or lesions for training, our system
requires only normal chest radiographs … unsupervised anomaly detection system based …

… In conclusion, our CNN model had good performance for detection of pneumothorax on
chest radiographs after PTNB, especially for those requiring further procedures. It can be used …

… -aided detection systems for the detection of lung nodules on chest … systems using deep
learning techniques have shown improved accuracy for nodule detection on chest radiograph. A …

… A statistical interpretation of the chest radiograph for the detection of pulmonary tuberculosis.
In: 2010 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES) (IEEE…

… in many clinically interpretable abnormality detection systems. Future work will investigate
the incorporation and importance of anatomical segmentation in other clinically relevant tasks. …