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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

