Deep Learning for Medical Image Analysis

Chapter 10

Characterization of Errors in Deep Learning-Based Brain MRI Segmentation

Akshay Pai^⁎,†; Yuan-Ching Teng^†; Joseph Blair^†; Michiel Kallenberg^⁎; Erik B. Dam^⁎; Stefan Sommer^†; Christian Igel^†; Mads Nielsen^{⁎,†    ⁎}Biomediq A/S, Copenhagen, Denmark^†University of Copenhagen, Copenhagen, Denmark

Abstract

With ever-increasing data in the field of medical imaging, the availability of robust methods for quantitative analysis in large-scale studies is the need of the hour. In recent times, there has been a significant increase in the use of deep learning, in particular of convolutional neural networks (CNNs), in the field of computer vision and image analysis. In contrast to traditional shallow classifiers, deep learning methods need less ...