COVID-19 Image Segmentation Based on Deep Learning and Ensemble Learning.
Journal:
Studies in health technology and informatics
Published Date:
May 27, 2021
Abstract
Medical imaging offers great potential for COVID-19 diagnosis and monitoring. Our work introduces an automated pipeline to segment areas of COVID-19 infection in CT scans using deep convolutional neural networks. Furthermore, we evaluate the performance impact of ensemble learning techniques (Bagging and Augmenting). Our models showed highly accurate segmentation results, in which Bagging achieved the highest dice similarity coefficient.