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MRI-based brain tumor prediction using convolutional neural network framework.

Overview

Authors: Yalla Anitha Reddy1, R. S. Dubey2, R. Vijay Prakash1, Ausif Padder3
ORCID iDs: R. S. Dubey
  1. School of Computer Science & Artificial Intelligence, SR University,Ananthasagar, Hasanparthy, Hanumakonda District, Warangal, T.S 506372 India
  2. JR Research Consulting & Solutions, Nagpur, MS 440023 India
  3. Symbiosis Institute of Technology, Hyderabad Campus, Symbiosis International (Deemed University),Pune, India
Institutions: SR University (India); Symbiosis International University (India)
Journal: Scientific reports, volume 16, issue 1, article 15904
Dates: received 29 December 2025; accepted 29 March 2026; published online 3 April 2026
Type: Research article · Language: English
License: CC BY-NC-ND
Identifiers: DOI 10.1038/s41598-026-47044-1 · PMID 41933029 · PMCID PMC13195128 · OpenAlex W7148681224
Open access: gold, a free copy (OpenAlex)
Status: data only
Categories: structural MRI / diffusion (modality), human (organism), other condition (population)
Methods: Machine learning
Keywords: Brain tumor, MRI Scans, CNN, Deep learning, Early diagnosis, Accuracy, Cancer, Computational biology and bioinformatics, Engineering, Health care, Mathematics and computing, Medical research
MeSH: Brain Neoplasms*, Magnetic Resonance Imaging*, Convolutional Neural Networks, Deep Learning, Humans, Image Interpretation, Computer-Assisted, Reproducibility of Results, ROC Curve, Sensitivity and Specificity (* major topic)
Topic: Brain Tumor Detection and Classification (Neurology, Neuroscience), according to OpenAlex
Funding: Symbiosis International (Deemed University)
Citations: cited by 2 papers (Europe PMC); 28 references in the paper

Abstract

The abstract is not reproduced here: the paper's license (CC BY-NC-ND) does not allow it. Read it in the paper, at the publisher or on Europe PMC.

Code

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Data

Datasets cited

Data availability statement

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Read it in the paper: doi.org/10.1038/s41598-026-47044-1.

Versions

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Version 1, 28 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 4 authors, 12 keywords, 9 MeSH terms, 1 funder, 25 references.

Cite

This paper

Reddy, Y. A., Dubey, R. S., Prakash, R. V., & Padder, A. (2026). MRI-based brain tumor prediction using convolutional neural network framework. Scientific reports, 16(1), 15904. https://doi.org/10.1038/s41598-026-47044-1

BibTeX

@article{reddy2026mri,
author = {Reddy, Yalla Anitha and Dubey, R. S. and Prakash, R. Vijay and Padder, Ausif},
title = {{MRI-based brain tumor prediction using convolutional neural network framework}},
journal = {Scientific reports},
year = {2026},
month = apr,
volume = {16},
number = {1},
pages = {15904},
publisher = {Nature Publishing Group},
issn = {2045-2322},
doi = {10.1038/s41598-026-47044-1},
url = {https://doi.org/10.1038/s41598-026-47044-1},
pmid = {41933029},
pmcid = {PMC13195128}
}

RIS

TY - JOUR
AU - Reddy, Yalla Anitha
AU - Dubey, R. S.
AU - Prakash, R. Vijay
AU - Padder, Ausif
TI - MRI-based brain tumor prediction using convolutional neural network framework
T2 - Scientific reports
J2 - Sci Rep
PY - 2026
DA - 2026/04/03
VL - 16
IS - 1
SP - 15904
SN - 2045-2322
PB - Nature Publishing Group
DO - 10.1038/s41598-026-47044-1
UR - https://doi.org/10.1038/s41598-026-47044-1
LA - en
ER -

CSL-JSON

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