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Deep Learning in Medical Imaging Survey

Since years ago and currently, the world has witnessed great development and interest in the fields of Machine learning, Deep learning, which provides solutions at all levels, especially in medical image analysis. These developments have a huge potential for medical imaging technology, medical data analysis, medical diagnostics and healthcare in general, slowly being realized. We provide a short overview of recent advances and some associated challenges in machine learning applied to medical image processing and image analysis. As this has become a very broad and fast expanding field we will not survey the entire landscape of applications, but put particular focus on deep learning in Magnetic Resonance Imaging (MRI). First, a brief introduction of deep learning and imaging modalities of MRI images is given. Then, common deep learning architectures are introduced. Next, deep learning applications of MRI images, such as image detection, image registration, image segmentation, and image classification are discussed. Subsequently, the deep learning tools in the applications of MRI images are presented. Finally; the limitation and future of Deep learning and a small conclusion.


Auteur(s) : Ahmath Bamba mbacke , Ghaity Ahmed Cheikh , Samba Ndiaye
Pages : 111--127
Année de publication : 2019
Revue : Proceedings of the International Conference on Rural and Elderly Health Informatics {(IREHI} 2019)
N° de volume : 2647
Type : Article
Statut Editorial : published
Mise en ligne par : MBACKE Ahmath Bamba