Brain Tumor Detection Using Transfer Learning with Dimensionality Reduction Method



Brain Tumor Detection, Medical Imaging, MRI Images, Transfer Learning, Dimensionality Reduction, Deep Learning


A tumor is a mass of abnormal cells that accumulate forming a tissue. These abnormal cells feed on the normal body cells and
destroy them and keep growing bigger. One of these tumors is a brain tumor. A brain tumor is imaged with MRI (Magnetic Resonance
Imaging), giving a cross-section image of the brain. In this paper, we have proposed a novel brain tumor detection method, which uses a
convolutional neural network with a transfer learning approach along with the dimensionality reduction method. The comparative analysis
of various transfer learning models with and without dimensionality reduction methods is included to present the effectivenes s of the
proposed model.


Download data is not yet available.


S. Das, O. F. M. R. R. Aranya, N. N. Labiba, Brain tumor classification using convolutional neural network, in: 2019 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT), IEEE, 2019.

T. L. Narayana, T. S. Reddy, An efficient optimization technique to detect brain tumor from MRI images, in: 2018 International Conference on Smart Systems and Inventive Technology (ICSSIT), IEEE, 2018.

M. Siar, M. Teshnehlab, Brain tumor detection using deep neural network and machine learning algorithm, in: 2019 9th International Conference on Computer and Knowledge Engineering (ICCKE), IEEE, 2019.

S. Irsheidat, R. Duwairi, Brain tumor detection using artificial convolutional neural networks, in: 2020 11th International Conference on Information and Communication Systems (ICICS), IEEE, 2020.

D. Joshi, H. Channe, A survey on brain tumor detection based on structural mri using machine learning and deep learning techniques., International Journal of Scientific & Technology Research 9 (2020) 17–23.

H. Mohsen, E.-S. A. El-Dahshan, E.-S. M. El-Horbaty, A.-B. M. Salem, Classification using deep learning neural networks for brain tumors, Future Computing and Informatics Journal 3 (2018) 68–71.

P. Kumar, B. VijayKumar, Brain tumor mri segmentation and classification using ensemble classifier, International Journal of Recent Technology and Engineering (IJRTE) 8 (2019).

H. Byale, G. Lingaraju, S. Sivasubramanian, Automatic segmentation and classification of brain tumor using machine learning techniques, International Journal of Applied Engineering Research 13 (2018) 11686–11692.

G. Hemanth, M. Janardhan, L. Sujihelen, Design and implementing brain tumor detection using machine learning approach, in: 2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI), IEEE, 2019.

N. V. Shree, T. N. R. Kumar, Identification and classification of brain tumor MRI images with feature extraction using DWT and probabilistic neural network, Brain Informatics 5 (2018) 23–30.

Brain tumor detection, accessed: 2021-07-22 (2021), 2021.

R. Mehrotra, M. Ansari, R. Agrawal, R. Anand, A transfer learning approach for AI-based classification of brain tumors, Machine Learning with Applications 2 (2020) 100003.

J. P. Cunningham, Z. Ghahramani, Linear dimensionality reduction: Survey, insights, and generalizations, The Journal of Machine Learning Research 16 (2015) 2859–2900.

H. Abdi, L. J. Williams, Principal component analysis, Wiley Interdisciplinary Reviews: Computational Statistics 2 (2010) 433–459.

V. K. Lakshmi, C. A. Feroz, J. A. J. Merlin, Automated detection and segmentation of brain tumor using genetic algorithm, in: 2018 International Conference on Smart Systems and Inventive Technology

(ICSSIT), IEEE, 2018.

A. Hebli, S. Gupta, Brain tumor prediction and classification using support vector machine, in: 2017 International Conference on Advances in Computing, Communication and Control (ICAC3), IEEE, 2017.

A. M. Harshini Badisa, Madhavi Polireddy, CNN based brain tumor detection, International Journal of Engineering and Advanced Technology 8 (2019) 1731–1734.

S. Patil, D. Kirange, V. Nemade, Predictive modelling of brain tumor detection using deep learning, Journal of Critical Reviews 7 (2020).

A. Pashaei, H. Sajedi, N. Jazayeri, Brain tumor classification via convolutional neural network and extreme learning machines, in: 2018 8th International conference on computer and knowledge engineering (ICCKE), IEEE, pp. 314–319.

M. Sajjad, S. Khan, K. Muhammad, W. Wu, A. Ullah, S. W. Baik, Multigrade brain tumor classification using deep cnn with extensive data augmentation, Journal of computational science 30 (2019) 174–182.

A. Ari, D. Hanbay, Deep learning based brain tumor classification and detection system, Turkish Journal of Electrical Engineering&Computer Sciences 26 (2018) 2275–2286.

K. Muhammad, S. Khan, J. Del Ser, V. H. C. de Albuquerque, Deep learning for multigrade brain tumor classification in smart healthcare systems: A prospective survey, IEEE Transactions on Neural Networks and Learning Systems 32 (2020) 507–522.

P. Afshar,A. Mohammadi, K.N. Plataniotis, Brain tumor type classification via capsule networks, in: 2018 25th IEEE International Conference on Image Processing (ICIP), IEEE, pp. 3129–3133.

S. Deepak, P. Ameer, Brain tumor classification using deep cnn features via transfer learning, Computers in biology and medicine 111 (2019) 103345.

G. Çınarer, B. G. Emiroğlu, Classificatin of brain tumors by machine learning algorithms, in: 2019 3rd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT), IEEE, pp.1–4.

C. L. Choudhury, C. Mahanty, R. Kumar, B. K. Mishra, Brain tumor detection and classification using convolutional neural network and deep neural network, in: 2020 International Conference on Computer Science, Engineering and Applications (ICCSEA), IEEE, pp. 1–4.

Y. Bhanothu, A. Kamalakannan, G. Rajamanickam, Detection and classification of brain tumor in mri images using deep convolutional network, in: 2020 6th International Conference on Advanced Computing and Communication Systems (ICACCS), IEEE, pp. 248–252.

Radiopaedia, accessed: 2022-01-22 (2022), 2022

J. Cheng,W. Huang, S. Cao, R. Yang,W. Yang, Z. Yun, Z.Wang, Q. Feng, Enhanced performance of brain tumor classification via tumor region augmentation and partition, PloS one 10 (2015) e0140381.

R.-S. Kwan, A. C. Evans, G. B. Pike, Mri simulation-based evaluation of image-processing and classification methods, IEEE transactions on medical imaging 18 (1999) 1085–1097.

Figshare brain tumor dataset, last accessed date: Jan 2022.

L. Scarpace, A. Flanders, R. Jain, T. Mikkelsen, D.W. Andrews, Data from REMBRANDT. The cancer imaging archive, 2015.

Healthy and Tumor Image




How to Cite

P. Modiya and S. Vahora, “Brain Tumor Detection Using Transfer Learning with Dimensionality Reduction Method”, Int J Intell Syst Appl Eng, vol. 10, no. 2, pp. 201–206, May 2022.



Research Article