Deep learning for medical image analysis

This project aims to speed up the process of drug development with the aid of automated segmentation of nuclei in histopathological images via deep learning method. Different traditional segmentation methods were explored and how to leverage the use of deep learning technology to speed up the proces...

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Bibliographic Details
Main Author:	Wong, Kin Sum
Other Authors:	Lin Guosheng
Format:	Final Year Project
Language:	English
Published:	2019
Subjects:	DRNTU::Engineering::Computer science and engineering
Online Access:	http://hdl.handle.net/10356/77013
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Institution:	Nanyang Technological University
Language:	English

id	sg-ntu-dr.10356-77013
record_format	dspace
spelling	sg-ntu-dr.10356-770132023-03-03T20:50:59Z Deep learning for medical image analysis Wong, Kin Sum Lin Guosheng School of Computer Science and Engineering DRNTU::Engineering::Computer science and engineering This project aims to speed up the process of drug development with the aid of automated segmentation of nuclei in histopathological images via deep learning method. Different traditional segmentation methods were explored and how to leverage the use of deep learning technology to speed up the process. The steps to perform segmentation task on given raw nuclei image input were discussed. At the end of the report, the prediction results are shown. Bachelor of Engineering (Computer Science) 2019-04-30T13:24:48Z 2019-04-30T13:24:48Z 2019 Final Year Project (FYP) http://hdl.handle.net/10356/77013 en Nanyang Technological University 41 p. application/pdf
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
language	English
topic	DRNTU::Engineering::Computer science and engineering
spellingShingle	DRNTU::Engineering::Computer science and engineering Wong, Kin Sum Deep learning for medical image analysis
description	This project aims to speed up the process of drug development with the aid of automated segmentation of nuclei in histopathological images via deep learning method. Different traditional segmentation methods were explored and how to leverage the use of deep learning technology to speed up the process. The steps to perform segmentation task on given raw nuclei image input were discussed. At the end of the report, the prediction results are shown.
author2	Lin Guosheng
author_facet	Lin Guosheng Wong, Kin Sum
format	Final Year Project
author	Wong, Kin Sum
author_sort	Wong, Kin Sum
title	Deep learning for medical image analysis
title_short	Deep learning for medical image analysis
title_full	Deep learning for medical image analysis
title_fullStr	Deep learning for medical image analysis
title_full_unstemmed	Deep learning for medical image analysis
title_sort	deep learning for medical image analysis
publishDate	2019
url	http://hdl.handle.net/10356/77013
_version_	1759857531296940032

Deep learning for medical image analysis

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