Early Diagnosis of Brain Tumour MRI Images Using Hybrid Techniques between Deep and Machine Learning

被引:0
作者
Senan, Ebrahim Mohammed [1 ]
Jadhav, Mukti E. [2 ]
Rassem, Taha H. [3 ]
Aljaloud, Abdulaziz Salamah [4 ]
Mohammed, Badiea Abdulkarem [4 ]
Al-Mekhlafi, Zeyad Ghaleb [4 ]
机构
[1] Department Of Computer Science, Hajjah University, Hajjah, Yemen
[2] Shri Shivaji Science & Arts College, Chikhli Dist., Buldana, India
[3] Faculty Of Science And Technology, Bournemouth University, Poole, United Kingdom
[4] College Of Computer Science And Engineering, University Of Hail, Hail, Saudi Arabia
关键词
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 50 条
[31]   Melanoma diagnosis using deep learning techniques on dermatoscopic images [J].
Mario Fernando Jojoa Acosta ;
Liesle Yail Caballero Tovar ;
Maria Begonya Garcia-Zapirain ;
Winston Spencer Percybrooks .
BMC Medical Imaging, 21
[32]   Feature extraction from MRI ADC images for brain tumor classification using machine learning techniques [J].
Sahan M. Vijithananda ;
Mohan L. Jayatilake ;
Badra Hewavithana ;
Teresa Gonçalves ;
Luis M. Rato ;
Bimali S. Weerakoon ;
Tharindu D. Kalupahana ;
Anil D. Silva ;
Karuna D. Dissanayake .
BioMedical Engineering OnLine, 21
[33]   Feature extraction from MRI ADC images for brain tumor classification using machine learning techniques [J].
Vijithananda, Sahan M. ;
Jayatilake, Mohan L. ;
Hewavithana, Badra ;
Goncalves, Teresa ;
Rato, Luis M. ;
Weerakoon, Bimali S. ;
Kalupahana, Tharindu D. ;
Silva, Anil D. ;
Dissanayake, Karuna D. .
BIOMEDICAL ENGINEERING ONLINE, 2022, 21 (01)
[34]   An automated brain tumor detection and classification from MRI images using machine learning techniques with IoT [J].
Budati, Anil Kumar ;
Katta, Rajesh Babu .
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY, 2022, 24 (09) :10570-10584
[35]   An automated brain tumor detection and classification from MRI images using machine learning techniques with IoT [J].
Anil Kumar Budati ;
Rajesh Babu Katta .
Environment, Development and Sustainability, 2022, 24 :10570-10584
[36]   Brain tumour detection using machine and deep learning: a systematic review [J].
Novsheena Rasool ;
Javaid Iqbal Bhat .
Multimedia Tools and Applications, 2025, 84 (13) :11551-11604
[37]   Segmentation Techniques for MRI Brain Tumour Images: A Critical Study [J].
Bora, Aichwajya ;
Rahman, Nawab Wasim ;
Bora, Dibya Jyoti .
2018 IEEE INTERNATIONAL CONFERENCE ON RESEARCH IN INTELLIGENT AND COMPUTING IN ENGINEERING (RICE III), 2018,
[38]   QDCNN-DMN: A hybrid deep learning approach for brain tumor classification using MRI images [J].
Kanchanamala, Pendela ;
Kuppusamy, Vijayakumar ;
Ganesan, Gunasekaran .
BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2025, 101
[39]   A deep learning approach for the early diagnosis of Parkinson's disease using brain MRI scans [J].
Mishra, Rishik ;
Jalal, Anand Singh ;
Kumar, Manoj ;
Jalal, Sunita .
INTERNATIONAL JOURNAL OF APPLIED PATTERN RECOGNITION, 2022, 7 (01) :64-77
[40]   Automated Segmentation of Brain Tumor MRI Images Using Machine Learning [J].
Meenakshidevi, P. ;
Kalyanasundaram, P. ;
Kumar, Nirmal S. .
2024 INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, COMMUNICATION AND APPLIED INFORMATICS, ACCAI 2024, 2024,