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A Hybrid Method Based on Feature Fusion for Breast Cancer Classification using Histopathological Images
European Journal of Science and Technology
◽
10.31590/ejosat.1018309
◽
2021
◽
Author(s):
Emre DANDIL
◽
Ali Osman SELVİ
◽
Kerim Kürşat ÇEVİK
◽
Mehmet Süleyman YILDIRIM
◽
Süleyman UZUN
Keyword(s):
Breast Cancer
◽
Hybrid Method
◽
Feature Fusion
◽
Cancer Classification
◽
Breast Cancer Classification
◽
Histopathological Images
Download Full-text
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References
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International Journal of Advanced Computer Science and Applications
◽
10.14569/ijacsa.2018.090310
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Vol 9
(3)
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Breast Cancer Classification from Histopathological Images Based on Improved Inception Model
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◽
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Vol 58
(8)
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pp. 0817001
Author(s):
李赵旭 Li Zhaoxu
◽
宋涛 Song Tao
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葛梦飞 Ge Mengfei
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...
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Deep Layer Convolutional Neural Network (CNN) Architecture for Breast Cancer Classification Using Histopathological Images
Studies in Big Data - Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges
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10.1007/978-3-030-59338-4_18
◽
2020
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pp. 347-364
Author(s):
Zanariah Zainudin
◽
Siti Mariyam Shamsuddin
◽
Shafaatunnur Hasan
Keyword(s):
Breast Cancer
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Neural Network
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Convolutional Neural Network
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Deep Layer
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Breast Cancer Classification
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Histopathological Images
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Breast Cancer Classification from Histopathological Images Using Transfer Learning and Deep Neural Networks
Artificial Intelligence and Soft Computing - Lecture Notes in Computer Science
◽
10.1007/978-3-030-61401-0_45
◽
2020
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pp. 491-502
Author(s):
Abdulrahman Aloyayri
◽
Adam Krzyżak
Keyword(s):
Breast Cancer
◽
Neural Networks
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Transfer Learning
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Deep Neural Networks
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Cancer Classification
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Breast Cancer Classification
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Histopathological Images
Download Full-text
Breast Cancer Classification from Histopathological Images with Inception Recurrent Residual Convolutional Neural Network
Journal of Digital Imaging
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10.1007/s10278-019-00182-7
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2019
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Vol 32
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pp. 605-617
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Breast Cancer Classification from Histopathological Images with Separable Convolutional Neural Network and Parametric Rectified Linear Unit
Advances in Intelligent Systems and Computing - Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2020
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10.1007/978-3-030-58669-0_34
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2020
◽
pp. 370-382
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Breast Cancer Classification
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Breast Cancer Classification on Histopathological Images Affected by Data Imbalance Using Active Learning and Deep Convolutional Neural Network
Artificial Neural Networks and Machine Learning – ICANN 2019: Workshop and Special Sessions - Lecture Notes in Computer Science
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10.1007/978-3-030-30493-5_31
◽
2019
◽
pp. 299-312
Author(s):
Bogdan Kwolek
◽
Michał Koziarski
◽
Andrzej Bukała
◽
Zbigniew Antosz
◽
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◽
...
Keyword(s):
Breast Cancer
◽
Neural Network
◽
Active Learning
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Cancer Classification
◽
Deep Convolutional Neural Network
◽
Breast Cancer Classification
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Data Imbalance
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Histopathological Images
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Automatic Breast Cancer Classification from Histopathological Images
2019 International Conference on Advances in the Emerging Computing Technologies (AECT)
◽
10.1109/aect47998.2020.9194194
◽
2020
◽
Author(s):
Fatma Anwar
◽
Omneya Attallah
◽
Nagia Ghanem
◽
Mohamed A. Ismail
Keyword(s):
Breast Cancer
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Cancer Classification
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Breast Cancer Classification
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3PCNNB-Net: Three Parallel CNN Branches for Breast Cancer Classification Through Histopathological Images
Journal of Medical and Biological Engineering
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Kamel Hussein Rahouma
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Breast Cancer Classification from Histopathological Images using Patch-based Deep Learning Modeling
IEEE Access
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10.1109/access.2021.3056516
◽
2021
◽
pp. 1-1
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◽
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Ayaz Hussain
◽
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Keyword(s):
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Cancer Classification
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Histopathological Images
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