Deep Learning Applications In Medical Image Analysis-Brain Tumor

Abstract

The tremendous success of machine
learning algorithms at image recognition tasks in
recent years intersects with a time of dramatically
increased use of electronic medical records and
diagnostic imaging. This review introduces the
machine learning algorithms as applied to medical
image analysis, focusing on convolutional neural
networks, and emphasizing clinical aspects of the
_eld. The advantage of machine learning in an era of
medical big data is that signi_cant hierarchal
relationships within the data can be discovered
algorithmically without laborious hand-crafting of
features. We cover key research areas and
applications of medical image classi_cation,
localization, detection, segmentation, and
registration. We conclude by discussing research
obstacles, emerging trends, and possible future
directions