Enhancing Prediction of Brain Tumor Classification Using Images and Numerical Data Features

Overview

Journal Diagnostics (Basel)

Specialty Radiology

Date 2023 Aug 12

PMID 37568907

Authors

Oumaima Saidani

Turki Aljrees

Muhammad Umer

Nazik Alturki

Amal Alshardan

Sardar Waqar Khan

Shtwai Alsubai

Imran Ashraf

Affiliations

Soon will be listed here.

Abstract

Brain tumors, along with other diseases that harm the neurological system, are a significant contributor to global mortality. Early diagnosis plays a crucial role in effectively treating brain tumors. To distinguish individuals with tumors from those without, this study employs a combination of images and data-based features. In the initial phase, the image dataset is enhanced, followed by the application of a UNet transfer-learning-based model to accurately classify patients as either having tumors or being normal. In the second phase, this research utilizes 13 features in conjunction with a voting classifier. The voting classifier incorporates features extracted from deep convolutional layers and combines stochastic gradient descent with logistic regression to achieve better classification results. The reported accuracy score of 0.99 achieved by both proposed models shows its superior performance. Also, comparing results with other supervised learning algorithms and state-of-the-art models validates its performance.

Citing Articles

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References

Rasool M, Ismail N, Boulila W, Ammar A, Samma H, Yafooz W . A Hybrid Deep Learning Model for Brain Tumour Classification. Entropy (Basel). 2022; 24(6). PMC: 9222774. DOI: 10.3390/e24060799. View

DeAngelis L . Brain tumors. N Engl J Med. 2001; 344(2):114-23. DOI: 10.1056/NEJM200101113440207. View

Habib A, Jovanovich N, Hoppe M, Ak M, Mamindla P, Colen R . MRI-Based Radiomics and Radiogenomics in the Management of Low-Grade Gliomas: Evaluating the Evidence for a Paradigm Shift. J Clin Med. 2021; 10(7). PMC: 8036428. DOI: 10.3390/jcm10071411. View

Rinesh S, Maheswari K, Arthi B, Sherubha P, Vijay A, Sridhar S . Investigations on Brain Tumor Classification Using Hybrid Machine Learning Algorithms. J Healthc Eng. 2022; 2022:2761847. PMC: 8860516. DOI: 10.1155/2022/2761847. View

Diaz-Pernas F, Martinez-Zarzuela M, Anton-Rodriguez M, Gonzalez-Ortega D . A Deep Learning Approach for Brain Tumor Classification and Segmentation Using a Multiscale Convolutional Neural Network. Healthcare (Basel). 2021; 9(2). PMC: 7912940. DOI: 10.3390/healthcare9020153. View

Soomro T, Zheng L, Afifi A, Ali A, Soomro S, Yin M . Image Segmentation for MR Brain Tumor Detection Using Machine Learning: A Review. IEEE Rev Biomed Eng. 2022; 16:70-90. DOI: 10.1109/RBME.2022.3185292. View

Noble W . What is a support vector machine?. Nat Biotechnol. 2006; 24(12):1565-7. DOI: 10.1038/nbt1206-1565. View

Srinivasu P, SivaSai J, Ijaz M, Bhoi A, Kim W, Kang J . Classification of Skin Disease Using Deep Learning Neural Networks with MobileNet V2 and LSTM. Sensors (Basel). 2021; 21(8). PMC: 8074091. DOI: 10.3390/s21082852. View

Umer M, Naveed M, Alrowais F, Ishaq A, Al Hejaili A, Alsubai S . Breast Cancer Detection Using Convoluted Features and Ensemble Machine Learning Algorithm. Cancers (Basel). 2022; 14(23). PMC: 9737339. DOI: 10.3390/cancers14236015. View

10.

Arvold N, Lee E, Mehta M, Margolin K, Alexander B, Lin N . Updates in the management of brain metastases. Neuro Oncol. 2016; 18(8):1043-65. PMC: 4933491. DOI: 10.1093/neuonc/now127. View

11.

Umer M, Sadiq S, Karamti H, Eshmawi A, Nappi M, Sana M . ETCNN: Extra Tree and Convolutional Neural Network-based Ensemble Model for COVID-19 Tweets Sentiment Classification. Pattern Recognit Lett. 2022; 164:224-231. PMC: 9664766. DOI: 10.1016/j.patrec.2022.11.012. View

12.

Amin J, Sharif M, Raza M, Saba T, Anjum M . Brain tumor detection using statistical and machine learning method. Comput Methods Programs Biomed. 2019; 177:69-79. DOI: 10.1016/j.cmpb.2019.05.015. View

13.

Sharma A, Nandal A, Dhaka A, Koundal D, Bogatinoska D, Alyami H . Enhanced Watershed Segmentation Algorithm-Based Modified ResNet50 Model for Brain Tumor Detection. Biomed Res Int. 2022; 2022:7348344. PMC: 8894002. DOI: 10.1155/2022/7348344. View

14.

Jena B, Saxena S, Nayak G, Balestrieri A, Gupta N, Khanna N . Brain Tumor Characterization Using Radiogenomics in Artificial Intelligence Framework. Cancers (Basel). 2022; 14(16). PMC: 9406706. DOI: 10.3390/cancers14164052. View

15.

Senan E, Jadhav M, Rassem T, Aljaloud A, Mohammed B, Al-Mekhlafi Z . Early Diagnosis of Brain Tumour MRI Images Using Hybrid Techniques between Deep and Machine Learning. Comput Math Methods Med. 2022; 2022:8330833. PMC: 9132638. DOI: 10.1155/2022/8330833. View

16.

Akinyelu A, Zaccagna F, Grist J, Castelli M, Rundo L . Brain Tumor Diagnosis Using Machine Learning, Convolutional Neural Networks, Capsule Neural Networks and Vision Transformers, Applied to MRI: A Survey. J Imaging. 2022; 8(8). PMC: 9331677. DOI: 10.3390/jimaging8080205. View

17.

Kazerooni A, Bagley S, Akbari H, Saxena S, Bagheri S, Guo J . Applications of Radiomics and Radiogenomics in High-Grade Gliomas in the Era of Precision Medicine. Cancers (Basel). 2021; 13(23). PMC: 8656630. DOI: 10.3390/cancers13235921. View

18.

Samee N, Mahmoud N, Atteia G, Abdallah H, Alabdulhafith M, Al-Gaashani M . Classification Framework for Medical Diagnosis of Brain Tumor with an Effective Hybrid Transfer Learning Model. Diagnostics (Basel). 2022; 12(10). PMC: 9600529. DOI: 10.3390/diagnostics12102541. View

19.

McFaline-Figueroa J, Lee E . Brain Tumors. Am J Med. 2018; 131(8):874-882. DOI: 10.1016/j.amjmed.2017.12.039. View

20.

Hou Y, Liu Z, Zhang T, Li Y . C-UNet: Complement UNet for Remote Sensing Road Extraction. Sensors (Basel). 2021; 21(6). PMC: 8003503. DOI: 10.3390/s21062153. View