Deep Learning-Based Brain Tumor Classification in MRI images using Ensemble of Deep Features (딥러닝 기반 특징 앙상블을 사용한 MRI 영상의 뇌종양 분류)

Jaeyong Kang (강재용); Jeonghwan Gwak (곽정환)

doi:10.9708/jksci.2021.26.07.037

Deep Learning-Based Brain Tumor Classification in MRI images using Ensemble of Deep Features

Journal of The Korea Society of Computer and Information
Abbr : JKSCI
2021, 26(7), pp.37-44
DOI : 10.9708/jksci.2021.26.07.037
Publisher : The Korean Society Of Computer And Information
Research Area : Engineering > Computer Science
Received : June 14, 2021
Accepted : July 21, 2021
Published : July 30, 2021

Jaeyong Kang ¹, Jeonghwan Gwak ¹

¹한국교통대학교

Accredited

ABSTRACT

Automatic classification of brain MRI images play an important role in early diagnosis of brain tumors. In this work, we present a deep learning-based brain tumor classification model in MRI images using ensemble of deep features. In our proposed framework, three different deep features from brain MR image are extracted using three different pre-trained models. After that, the extracted deep features are fed to the classification module. In the classification module, the three different deep features are first fed into the fully-connected layers individually to reduce the dimension of the features. After that, the output features from the fully-connected layers are concatenated and fed into the fully-connected layer to predict the final output. To evaluate our proposed model, we use openly accessible brain MRI dataset from web. Experimental results show that our proposed model outperforms other machine learning-based models.

KEYWORDS

Artificial intelligence, Machine learning, Deep learning, Brain tumor classification, Transfer learning, Ensemble learning

Citation status

* References for papers published after 2023 are currently being built.

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This paper was written with support from the National Research Foundation of Korea.

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Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

Deep Learning-Based Brain Tumor Classification in MRI images using Ensemble of Deep Features

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* References for papers published after 2023 are currently being built.

Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

Deep Learning-Based Brain Tumor Classification in MRI images using Ensemble of Deep Features

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* References for papers published after 2023 are currently being built.