Improvement of Automatic Glioma Brain Tumor Detection Using Deep Convolutional Neural Networks

Author:

Altameem Ayman1,Mallikarjuna Basetty2ORCID,Saudagar Abdul Khader Jilani3ORCID,Sharma Meenakshi2,Poonia Ramesh Chandra4

Affiliation:

1. Department of Computer Science and Engineering, College of Applied Studies and Community Services, King Saud University, Riyadh, Saudi Arabia.

2. School of Computing Science and Engineering, Galgotias University, Greater Noida, India.

3. Information Systems Department, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia.

4. Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India.

Publisher

Mary Ann Liebert Inc

Subject

Computational Theory and Mathematics,Computational Mathematics,Genetics,Molecular Biology,Modeling and Simulation

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3. WD‐UNeXt: Weight loss function and dropout U‐Net with ConvNeXt for automatic segmentation of few shot brain gliomas;IET Image Processing;2023-06-29

4. Python And Opencv For Sign Language Recognition;2023 International Conference on Device Intelligence, Computing and Communication Technologies, (DICCT);2023-03-17

5. The Future IoT: The Current Generation 5G and Next Generation 6G and 7G Technologies;2023 International Conference on Device Intelligence, Computing and Communication Technologies, (DICCT);2023-03-17

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