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Deep learning layer convolutional neural network (CNN) scheme for cancer image

Recent years, in medical image especially cancer detection used whole slide digital scanners, called as histopathology image (images of tissues and cell) where it can now be keep in digital images. Consequently, using Deep Learning will help pathologist in cancer detection (cancer cell known as mito...

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Main Authors: Zainudin, Z., Shamsuddin, S. M., Hasan, S.
Format: Conference or Workshop Item
Language:English
Published: 2019
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://eprints.utm.my/id/eprint/91359/1/ZanariahZainudin2019_DeepLearningLayerConvolutional.pdf
http://eprints.utm.my/id/eprint/91359/
http://www.dx.doi.org/10.1088/1757-899X/551/1/012039/pdf
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spelling my.utm.913592021-06-30T12:08:15Z http://eprints.utm.my/id/eprint/91359/ Deep learning layer convolutional neural network (CNN) scheme for cancer image Zainudin, Z. Shamsuddin, S. M. Hasan, S. QA75 Electronic computers. Computer science Recent years, in medical image especially cancer detection used whole slide digital scanners, called as histopathology image (images of tissues and cell) where it can now be keep in digital images. Consequently, using Deep Learning will help pathologist in cancer detection (cancer cell known as mitosis). In this paper, we are using Deep Learning Layer Convolutional Neural Network (CNN) for cancer classification using histopathology image and used AMIDA dataset which are related on female breast cancer dataset. Mitosis is an important parameter for the prognosis/diagnosis of breast cancer. However, using histopathology image for cancer detection is a challenging problem that needs a deeper investigations. This problem occurs when to classify mitosis because mitosis is small objects with a large variety of shapes, and they can thus be easily confused with some other objects or artefacts present in the image. In this paper, the objective to find the suitable layer for Deep Learning Convolutional Neural Network and reduce the loss rate. 2019 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/91359/1/ZanariahZainudin2019_DeepLearningLayerConvolutional.pdf Zainudin, Z. and Shamsuddin, S. M. and Hasan, S. (2019) Deep learning layer convolutional neural network (CNN) scheme for cancer image. In: Joint Conference on Green Engineering Technology & Applied Computing 2019, 4-5 Feb 2019, Eastin Hotel Makkasan, Bangkok, Thailand. http://www.dx.doi.org/10.1088/1757-899X/551/1/012039/pdf
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Zainudin, Z.
Shamsuddin, S. M.
Hasan, S.
Deep learning layer convolutional neural network (CNN) scheme for cancer image
description Recent years, in medical image especially cancer detection used whole slide digital scanners, called as histopathology image (images of tissues and cell) where it can now be keep in digital images. Consequently, using Deep Learning will help pathologist in cancer detection (cancer cell known as mitosis). In this paper, we are using Deep Learning Layer Convolutional Neural Network (CNN) for cancer classification using histopathology image and used AMIDA dataset which are related on female breast cancer dataset. Mitosis is an important parameter for the prognosis/diagnosis of breast cancer. However, using histopathology image for cancer detection is a challenging problem that needs a deeper investigations. This problem occurs when to classify mitosis because mitosis is small objects with a large variety of shapes, and they can thus be easily confused with some other objects or artefacts present in the image. In this paper, the objective to find the suitable layer for Deep Learning Convolutional Neural Network and reduce the loss rate.
format Conference or Workshop Item
author Zainudin, Z.
Shamsuddin, S. M.
Hasan, S.
author_facet Zainudin, Z.
Shamsuddin, S. M.
Hasan, S.
author_sort Zainudin, Z.
title Deep learning layer convolutional neural network (CNN) scheme for cancer image
title_short Deep learning layer convolutional neural network (CNN) scheme for cancer image
title_full Deep learning layer convolutional neural network (CNN) scheme for cancer image
title_fullStr Deep learning layer convolutional neural network (CNN) scheme for cancer image
title_full_unstemmed Deep learning layer convolutional neural network (CNN) scheme for cancer image
title_sort deep learning layer convolutional neural network (cnn) scheme for cancer image
publishDate 2019
url http://eprints.utm.my/id/eprint/91359/1/ZanariahZainudin2019_DeepLearningLayerConvolutional.pdf
http://eprints.utm.my/id/eprint/91359/
http://www.dx.doi.org/10.1088/1757-899X/551/1/012039/pdf
_version_ 1705056702334763008
score 13.211869

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