Machine Learning in Medical Imaging

Qian Wang,Yinghuan Shi,Dinggang Shen

doi:10.1109/jbhi.2019.2920801

Qian Wang, Yinghuan Shi + Show 1 more

Open Access

https://doi.org/10.1109/jbhi.2019.2920801

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Abstract

The papers in this special issue focus on machine learning for use in medical image processing applications. The use of machine learning in this area has become indispensable in diagnosis and treatment of many diseases. With advances in new imaging techniques, the need to take full advantage of abundant images draws more and more attention. Machine learning, including deep learning particularly, provides us a new paradigm to learn and to utilize the overwhelming volume of big imaging data smartly. Nowadays, machine learning in medical imaging has become one of the most promising and growing fields of research. The main aim of this special issue is to help advance the scientific research within the broad field of machine learning in medical imaging. The special issue was planned in conjunction with the International Workshop on Machine Learning in Medical Imaging (MLMI) 2017.

Highlights

T HERE is no doubt that medical imaging has become indispensable in diagnosis and treatment of many diseases
The main aim of this special issue is to help advance the scientific research within the broad field of machine learning in medical imaging
The special issue was planned in conjunction with the International Workshop on Machine Learning in Medical Imaging (MLMI) 2017

Summary

INTRODUCTION

T HERE is no doubt that medical imaging has become indispensable in diagnosis and treatment of many diseases. With advances in new imaging techniques, the need to take full advantage of abundant images draws more and more attention. Machine learning, including deep learning provides us a new paradigm to learn and to utilize the overwhelming volume of big imaging data smartly. Machine learning in medical imaging has become one of the most promising and growing fields of research. The main aim of this special issue is to help advance the scientific research within the broad field of machine learning in medical imaging. The special issue was planned in conjunction with the International Workshop on Machine Learning in Medical Imaging (MLMI) 2017. There were a number of other excellent papers that were not able to be included in the special issue due to the limited space

From Low-Level Processing to High-Level Understanding

Ophthalmic Disease

Neural Disorder

Pathology and Cell Detection

CONCLUDING REMARKS