MRI Brain Tumor Detection Methods Using Contourlet Transform Based on Time Adaptive Self-Organizing Map

Author:

Farzamnia Ali1ORCID,Hazaveh Seyed Hamidreza2ORCID,Siadat Seyede Safieh3,Moung Ervin Gubin4ORCID

Affiliation:

1. Faculty of Engineering, Universiti Malaysia Sabah, Kota Kinabalu, Sabah, Malaysia

2. Faculty of Mechanical, Electrical Power and Computer, Science and Research Branch, Islamic Azad University (IAU), Tehran, Iran

3. Faculty of Computer Science, Payame Noor University (PNU), Tehran, Iran

4. Faculty of Computing and Informatics, Universiti Malaysia Sabah, Kota Kinabalu, Malaysia

Funder

Penerbit Universiti Malaysia Sabah (UMS); and the Faculty of Engineering, UMS

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Neuroimage analysis using artificial intelligence approaches: a systematic review;Medical & Biological Engineering & Computing;2024-04-26

2. Advances and Challenges in Brain Tumor Classification and Segmentation: A Comprehensive Review;2024 International Conference on Inventive Computation Technologies (ICICT);2024-04-24

3. Advancements in deep learning techniques for brain tumor segmentation: A survey;Informatics in Medicine Unlocked;2024

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