Title:	DEEP LEARNING IN MEDICAL IMAGE ANALYSIS: RECENT ADVANCES AND FUTURE TRENDS
Author(s):	Evgin Goceri and Numan Goceri
ISBN:	978-989-8533-66-1
Editors:	Yingcai Xiao and Ajith P. Abraham
Year:	2017
Edition:	Single
Keywords:	Deep Learning, Medical Images, Image Analysis, Automated Segmentation, Machine Learning
Type:	Short Paper
First Page:	305
Last Page:	310
Language:	English
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Full Contents:	click to dowload
Paper Abstract:	Deep Learning (DL) methods are a set of algorithms in Machine Learning (ML), which provides an effective way to analysis medical images automatically for diagnosis/assessment of a disease. DL enables higher level of abstraction and provides better prediction from datasets. Therefore, DL has a great impact and become popular in recent years. In this work, we present advances and future researches on DL based medical image analysis.
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