Convolutional neural network long short-term memory (CNN + LSTM) for histopathology cancer image classification

Convolutional neural network long short-term memory (CNN + LSTM) for histopathology cancer image classification

Deep learning algorithm such as Convolutional Neural Networks (CNN) is popular in image recognition,object recognition, scene recognition and face recognition. Compared to traditional method in machine learning, Convolutional Neural Network (CNN) will give more efficient results. This is due to Conv...

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Main Authors: Zainudin, Zanariah, Shamsuddin, Siti Mariyam, Hasan, Shafaatunnur
Format: Conference or Workshop Item
Published: 2020
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://eprints.utm.my/id/eprint/92265/
http://dx.doi.org/10.1007/978-981-15-1366-4_19
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Institution: Universiti Teknologi Malaysia
id my.utm.92265
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spelling my.utm.922652021-09-28T07:34:56Z http://eprints.utm.my/id/eprint/92265/ Convolutional neural network long short-term memory (CNN + LSTM) for histopathology cancer image classification Zainudin, Zanariah Shamsuddin, Siti Mariyam Hasan, Shafaatunnur QA75 Electronic computers. Computer science Deep learning algorithm such as Convolutional Neural Networks (CNN) is popular in image recognition,object recognition, scene recognition and face recognition. Compared to traditional method in machine learning, Convolutional Neural Network (CNN) will give more efficient results. This is due to Convolutional Neural Network (CNN) capabilities in finding the strong feature while training the image. In this experiment, we compared the Convolutional Neural Network (CNN) algorithm with the popular machine learning algorithm basic Artificial Neural Network (ANN). The result showed some improvement when using Convolutional Neural Network Long Short-Term Memory (CNN + LSTM) compared to the multi-layer perceptron (MLP). The performance of the algorithm has been evaluated based on the quality metric known as loss rate and classification accuracy. 2020 Conference or Workshop Item PeerReviewed Zainudin, Zanariah and Shamsuddin, Siti Mariyam and Hasan, Shafaatunnur (2020) Convolutional neural network long short-term memory (CNN + LSTM) for histopathology cancer image classification. In: 2nd International Conference on Machine Intelligence and Signal Processing, MISP 2019, 7 - 10 September 2019, Allahabad, India. http://dx.doi.org/10.1007/978-981-15-1366-4_19
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/
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Zainudin, Zanariah
Shamsuddin, Siti Mariyam
Hasan, Shafaatunnur
Convolutional neural network long short-term memory (CNN + LSTM) for histopathology cancer image classification
description Deep learning algorithm such as Convolutional Neural Networks (CNN) is popular in image recognition,object recognition, scene recognition and face recognition. Compared to traditional method in machine learning, Convolutional Neural Network (CNN) will give more efficient results. This is due to Convolutional Neural Network (CNN) capabilities in finding the strong feature while training the image. In this experiment, we compared the Convolutional Neural Network (CNN) algorithm with the popular machine learning algorithm basic Artificial Neural Network (ANN). The result showed some improvement when using Convolutional Neural Network Long Short-Term Memory (CNN + LSTM) compared to the multi-layer perceptron (MLP). The performance of the algorithm has been evaluated based on the quality metric known as loss rate and classification accuracy.
format Conference or Workshop Item
author Zainudin, Zanariah
Shamsuddin, Siti Mariyam
Hasan, Shafaatunnur
author_facet Zainudin, Zanariah
Shamsuddin, Siti Mariyam
Hasan, Shafaatunnur
author_sort Zainudin, Zanariah
title Convolutional neural network long short-term memory (CNN + LSTM) for histopathology cancer image classification
title_short Convolutional neural network long short-term memory (CNN + LSTM) for histopathology cancer image classification
title_full Convolutional neural network long short-term memory (CNN + LSTM) for histopathology cancer image classification
title_fullStr Convolutional neural network long short-term memory (CNN + LSTM) for histopathology cancer image classification
title_full_unstemmed Convolutional neural network long short-term memory (CNN + LSTM) for histopathology cancer image classification
title_sort convolutional neural network long short-term memory (cnn + lstm) for histopathology cancer image classification
publishDate 2020
url http://eprints.utm.my/id/eprint/92265/
http://dx.doi.org/10.1007/978-981-15-1366-4_19
_version_ 1712285072248274944

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