Application of Deep Learning to Biomedical Informatics
Yanshan Wang · International Journal of Applied Science - Research and Review · 2016
convolutional neural networks (CNNs) even on non-medical image could improve identification of different types of pathologies in chest x-ray images [12]; CNNs is also used to learn hierarchical representations of images for segmentation of tibial cartilage in low field knee MRI scans [13]; a unified deep learning framework is developed for feature representation and automatic prostate MR segmentation [14].Those studies show that researchers have attempted to apply deep learning models to clinical radiology research to assist physicians.