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International Journal of Neuroscience Volume 131, 2021 - Issue 6
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Original Articles

Advance computer analysis of magnetic resonance imaging (MRI) for early brain tumor detection

Neetu Mittala Amity Institute of Information Technology, Amity University Uttar Pradesh, Noida, India
&
Satyam Tayalb Thapar Institute of Engineering and Technology, Patiala, IndiaCorrespondence[email protected] [email protected]
Pages 555-570 | Received 14 May 2019, Accepted 15 Mar 2020, Published online: 15 Apr 2020

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Haiqing Fan, Yue Yu, Jinhui Du, Likun Liu, Yilin Luo, Hui Yu & Xin Liao. (2022) Computed Tomography, Magnetic Resonance Imaging, and Pathological Features of Gliosarcoma. Neuropsychiatric Disease and Treatment 18, pages 2577-2589.
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Articles from other publishers (6)

J R McCall, R M Jones, F Santibanez, K Latham, J Zou, P A Dayton & G F Pinton. (2023) The development of a 1.25 MHz 1024-channel sparse array for human transcranial imaging: in vitro characterization. Measurement Science and Technology 35:3, pages 034003.
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Sheetal Mavi, Neetu Mittal & Pradeepta Kumar Sarangi. (2024) Implementation of AI Based Model for Identification of Different Soil Types Using Tensorflow. Macromolecular Symposia 413:1.
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Saqlain Razzaq, Muhammad Adeel Asghar, Abdul Wakeel & Muhammad Bilal. (2023) Least complex oLSVN-based computer-aided healthcare system for brain tumor detection using MRI images. Journal of Ambient Intelligence and Humanized Computing 15:1, pages 683-695.
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S. Senthil Pandi, A. Senthilselvi, M. Maragatharajan & I. Manju. (2022) An optimal self adaptive deep neural network and spine‐kernelled chirplet transform for image registration. Concurrency and Computation: Practice and Experience 34:27.
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Usman Zahid, Imran Ashraf, Muhammad Attique Khan, Majed Alhaisoni, Khawaja M. Yahya, Hany S. Hussein & Hammam Alshazly. (2022) BrainNet: Optimal Deep Learning Feature Fusion for Brain Tumor Classification. Computational Intelligence and Neuroscience 2022, pages 1-13.
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Sadegh Ghaderi, Kayvan Ghaderi & Hamid Ghaznavi. (2022) Using marker-controlled watershed transform to detect Baker's cyst in magnetic resonance imaging images: A pilot study. Journal of Medical Signals & Sensors 12:1, pages 84.
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