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Advanced Neurology                                                Diffusion model for brain tumor classification



            Investigation: All authors                            2021;11(3):301.
            Methodology: Efe Precious Onakpojeruo                 doi: 10.3390/brainsci11030301
            Project administration: Dilber Uzun Ozsahin, Ilker Ozsahin
            Software: Efe Precious Onakpojeruo                 7.   Fuemmeler BF, Elkin TD, Mullins LL. Survivors of childhood
            Validation: All authors                               brain tumors: Behavioral, emotional, and social adjustment.
                                                                  Clin Psychol Rev. 2002;22(4):547-585.
            Visualization: All authors
            Writing–original draft: Efe Precious Onakpojeruo      doi: 10.1016/S0272-7358(01)00120-9
            Writing–review & editing: All authors              8.   Onakpojeruo EP, Mustapha MT, Ozsahin DU, Ozsahin  I.
                                                                  A  comparative analysis of the novel conditional deep
            Ethics approval and consent to participate            convolutional neural network model, using conditional deep
            Not applicable.                                       convolutional generative adversarial network-generated
                                                                  synthetic and augmented brain tumor datasets for image
            Consent for publication                               classification. Brain Sci. 2024;14(6):559.

            Not applicable.                                       doi: 10.3390/brainsci14060559
                                                               9.   Ozsahin DU, Onakpojeruo EP, Uzun B, Ozsahin I. Selection
            Availability of data                                  methods for the treatment of spinal cord tumors using analytical
            The dataset used in this research work can be obtained   evaluation  models.  In:  Advances in Science and Engineering
                                                                  Technology International Conferences (ASET); 2023.
            from the Kaggle database, which is openly available for
            experimentation and can be downloaded from: (i) Brain      doi: 10.1109/ASET56582.2023.10180782
            tumor classification (MRI; https://www.kaggle.com/  10.  Uzun Ozsahin D, Onakpojeruo EP, Uzun B. Hydrogel-based
            datasets/sartajbhuvaji/brain-tumor-classification-mri/  drug delivery nanoparticles with conventional treatment
            data) and (ii) brain tumor dataset (https://figshare.com/  approaches for cancer tumors; a comparative study using
            articles/dataset/brain_tumor_dataset/1512427/5).      MCDM technique. In: Advances in Science and Engineering
                                                                  Technology International Conferences (ASET); 2023.
            References                                            doi: 10.1109/ASET56582.2023.10180659
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            Volume 4 Issue 4 (2025)                         98                           doi: 10.36922/AN025130025
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