|Authors||M. Kirkerød, R. Borgli, V. Thambawita, S. Hicks and M. Riegler|
|Title||Unsupervised Preprocessing to Improve Generalisation for Medical Image Classification|
|Project(s)||Department of Holistic Systems, Simula Metropolitan Center for Digital Engineering|
|Publication Type||Proceedings, refereed|
|Year of Publication||2019|
|Conference Name||IEEE 13th International Symposium on Medical Information and Communication Technology (ISMICT)|
Automated disease detection in videos and images from the gastrointestinal (GI) tract has received much attention in the last years. However, the quality of image data is often reduced due to overlays of text and positional data.