Page
%P
![Loading...](https://link.springer.com/static/c4a417b97a76cc2980e3c25e2271af3129e08bbe/images/pdf-preview/spacer.gif)
-
Chapter and Conference Paper
Alleviating Data Imbalance Issue with Perturbed Input During Inference
Intelligent diagnosis is often biased toward common diseases due to data imbalance between common and rare diseases. Such bias may still exist even after applying re-balancing strategies during model training....
-
Chapter and Conference Paper
Abnormality Detection in Chest X-Ray Images Using Uncertainty Prediction Autoencoders
Chest radiography is widely used in annual medical screening to check whether lungs are healthy or not. Therefore it would be desirable to develop an intelligent system to help clinicians automatically detect ...