Document is current

Article History

Received: 7 January 2025

Accepted: 11 May 2025

First Online: 27 September 2025

Declarations

:

: This research on the classification of MRI brain tumor images using a CNN model with various kernels and pooling optimization was conducted with publicly available datasets. No human participants or animals were involved in the analysis of data for this research, so ethical approval was not required. The diagnosis and outcome derived from this research work are solely intended for academic understanding and requires further validation and verification for other purpose.

: The authors declare no competing interests.

: This research utilizes publicly available, anonymized MRI brain tumor datasets from platforms like Kaggle, with no direct involvement of human participants, animals, or clinical trials. As the data is pre-collected and openly shared for academic purposes, no ethical approval or informed consent was required. All experiments were computational, ensuring compliance with ethical standards.

: Not Applicable. This study does not qualify as a clinical trial as it exclusively utilizes publicly available MRI brain tumor datasets obtained from Kaggle. The research does not involve human or animal subjects, clinical interventions, experimental treatments, or patient data collection. Instead, it is based on computational experiments conducted using pre-collected and openly shared datasets intended for academic and research purposes. Therefore, clinical trial registration is not applicable to this work.