An explainable modified convolutional mixer neural network-based deep learning framework for accurate brain tumor detection and classification

Overall, the EM-ConvMixer+Net technique presents a reliable, interpretable, and computationally efficient framework for advancing clinical brain tumor diagnosis.

Authors

R. Ramana
M. Kaliappan (ORCID: https://orcid.org/0000-0002-3587-9022)
S. Selva Birunda (ORCID: https://orcid.org/0000-0002-9122-5250)

Institutions

Intel (India) (IN)

Publication Details

Journal: Neurological Research
Published: 2025-10-31
DOI: https://doi.org/10.1080/01616412.2025.2574357
Primary Topic: Brain Tumor Detection and Classification
Type: article
Field-Weighted Citation Impact: 0.00

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article

An explainable modified convolutional mixer neural network-based deep learning framework for accurate brain tumor detection and classification

R. Ramana, M. Kaliappan, S. Selva Birunda

Oct 31, 2025

Neurological Research

Brain Tumor Detection and Classification

article

An explainable modified convolutional mixer neural network-based deep learning framework for accurate brain tumor detection and classification

R. Ramana, M. Kaliappan, S. Selva Birunda

October 31, 2025article en

Abstract

Overall, the EM-ConvMixer+Net technique presents a reliable, interpretable, and computationally efficient framework for advancing clinical brain tumor diagnosis.

Neurological Research

Intel (India) (IN)

Openalex Percentile: Top 61%

Brain Tumor Detection and Classification

DOI Source OpenAlex

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An explainable modified convolutional mixer neural network-based deep learning framework for accurate brain tumor detection and classification — R. Ramana, M. Kaliappan, et al. · Neurological Research (2025) | TGRS Research Map | TGRS