An enhanced deep learning approach for brain cancer MRI images classification using residual networks

Roser, 2019 Louis, 2016, The 2016 World Health Organization classification of tumors of the central nervous system: a summary, Acta Neuropathol, 131, 803, 10.1007/s00401-016-1545-1 Nawab, 2019, Content-based brain tumor retrieval for MR images using transfer learning, IEEE Access, 7 Pereira, 2018, Automatic brain tumor grading from MRI data using convolutional neural networks and quality assessment, iMIMIC - Workshop on Interpretability of Machine Intelligence in Medical Image Computing Kumar, 2017, Classification of Brain MRI Tumor Images: A Hybrid Approach, Procedia Comput Sci, 122, 510, 10.1016/j.procs.2017.11.400 Vidyarthi, 2016, Performance analysis of Gabor-Wavelet based features in classification of high grade malignant brain tumors, Proceedings of the 2015 39th National Systems Conference, NSC 2015 Yuchen Qiu, 2017, A New Approach to Develop Computer-aided Diagnosis Scheme of Breast Mass Classification Using Deep Learning Technology, J Xray Sci Technol, 118, 6072 Machhale, 2015, MRI brain cancer classification using hybrid classifier (SVM-KNN), 60 Deepa, 2018, MRI Brain Tumor Classification Using Cuckoo Search Support Vector Machines and Particle Swarm Optimization Based Feature Selection, 1213 Menaka Devi, 2018, MR Brain Tumor Classification and Segmentation Via Wavelets, 1 Reema, 2017, Tumor detection and classification of MRI brain image using wavelet transform and SVM, 75 Polly, 2018, Detection and classification of HGG and LGG brain tumor using machine learning, Int J Adv Res Comput Sci, 9, 585, 10.26483/ijarcs.v9i2.5807 Islam, 2017, A new hybrid approach for brain tumor classification using BWT-KSVM, 241 Sachdeva, 2011, Multiclass brain tumor classification using GA-SVM, 182 Abd-Ellah, 2016, Design and implementation of a computer-aided diagnosis system for brain tumor classification, Proceedings of the International Conference on Microelectronics, ICM, 73 Kumar, 2016, Computer Aided Diagnostic for cancer detection using MRI images of brain, IEEE Annual India Conference (INDICON) Vaishnavee, 2015, An automated MRI brain image segmentation and tumor detection using SOM-clustering and Proximal Support Vector Machine classifier, ICETECH 2015-2015 IEEE International Conference on Engineering and Technology, no. March Sundararaj, 2014, Robust classification of primary brain tumor in Computer Tomography images using K-NN and linear SVM, Proceedings of 2014 International Conference on Contemporary Computing and Informatics, IC3I 2014, 1315, 10.1109/IC3I.2014.7019693 Latif, 2017, Multiclass brain Glioma tumor classification using block-based 3D Wavelet features of MR images, 2017 4th International Conference on Electrical and Electronics Engineering, ICEEE 2017, 333 Minz, 2017, MR image classification using adaboost for brain tumor type, Proceedings - 7th IEEE International Advanced Computing Conference, IACC 2017, 701, 10.1109/IACC.2017.0146 Chauhan, 2017, Brain tumor detection and classification in MRI images using image and data mining, 223 Sornam, 2016, Segmentation and classification of brain tumor using wavelet and Zernike based features on MRI, 2016 IEEE International Conference on Advances in Computer Applications, ICACA 2016, 166, 10.1109/ICACA.2016.7887944 Deepa, 2011, Neural networks and SMO based classification for brain tumor, Proceedings of the 2011 World Congress on Information and Communication Technologies, WICT 2011, 1032, 10.1109/WICT.2011.6141390 V. O. S. Nicholas G. Polson, Deep learning, Nature Methods, 13, 2018. Balasooriya, 2017, A sophisticated convolutional neural network model for brain tumor classification Seetha, 2018, Brain tumor classification using convolutional neural network, Biomed Pharmacol. J, 68, 2018 Chang, 2018, Deep-learning convolutional neural networks accurately classify genetic mutations in gliomas, Am J Neuroradiol, 39, 2018, 10.3174/ajnr.A5667 Jude Hemanth, 2019, A modified deep convolutional neural network for abnormal brain image classification, IEEE Access, 7, 4275, 10.1109/ACCESS.2018.2885639 Mina Rezaei, 2017, Deep Neural Network with l2-Norm Unit for Brain Lesions Detection, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10637 LNCS, 798 Yan Xu, 2015, Deep convolutional activation features for large scale Brain Tumor histopathology image classification and segmentation, ICASSP, 947 Yan Liu, 2017, A deep convolutional neural network-based automatic delineation strategy for multiple brain metastases stereotactic radiosurgery, PLoS ONE, 12, 1 Paul, 2016 Nyoman Abiwinanda, 2018 Afshar, 2018 Afshara, 2018 Pashaei, 2018, Brain tumor classification via convolutional neural network and extreme learning machines, 2018 8th International Conference on Computer and Knowledge Engineering (ICCKE), 314, 10.1109/ICCKE.2018.8566571 Cheng, 2017 Kaiming He, 2015, Deep Residual Learning for Image Recognition, Kaiming He, Xiangyu Zhang, Shaoqing Ren and Jian Sun, 19, 107 Sathees Kumar, 2015, Feature extraction using image mining techniques to identify brain tumors Bangare, 2017, Brain tumor classification using mixed method approach Cheng, 2015, Enhanced performance of brain tumor classification via tumor region augmentation and partition, PLoS ONE, 10, 1, 10.1371/journal.pone.0140381 Justin Paul, 2017, Deep learning for brain tumor classification, Biomedical Applications in Molecular, Structural, and Functional Imaging, 2017 Gorach, 2018, Deep Convolutional Neural Networks - A Review, Int Res J Eng Technol, 56, 1235 Bakator, 2018, Deep learning and medical diagnosis: a review of literature, Multimodal Technol. Interact., 2, 47, 10.3390/mti2030047 O’Shea, 2015 He, 2016, Identity mappings in deep residual networks, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9908 LNCS, 630 Rosie Dunford, 2014 Mikołajczyk, 2018, Data augmentation for improving deep learning in image classification problem, 2018 International Interdisciplinary PhD Workshop (IIPhDW), 117, 10.1109/IIPHDW.2018.8388338 Goodfellow, 2016 Shorten, 2019, A survey on image data augmentation for deep learning, J Big Data, 10.1186/s40537-019-0197-0 Sulaiman, 2015, A review on evaluation metrics for data classification evaluations, international, Journal of Data Mining & Knowledge Management Process (IJDKP), 2015, 1 Brodersen, 2010, The balanced accuracy and its posterior distribution, Proceedings - International Conference on Pattern Recognition, 3121 Tharwat, 2018 Tandel, 2019, A review on a deep learning perspective in brain cancer classification, Cancers, 11, 10.3390/cancers11010111