# Hybrid Deep Maxout-VGG-16 model for brain tumour detection and classification using MRI images

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/hybrid-deep-maxout-vgg-16-model-for-brain-tumour-detection-and-classification/

## Facts

| Field | Value |
| --- | --- |
| Author Names | T Loganayagi,Meesala Sravani,Balajee Maram,Telu Venkata Madhusudhana Rao |
| Citations | 9 |
| DOI | 10.1016/j.jbiotec.2025.05.009 |
| Fields | Computer Science,Neuroscience |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4410230736 |
| PMID | 40350083 |
| Type | article |
| Year | 2025 |

## Paper authors

- [Balajee Maram](https://scholariq.org/researchers/balajee-maram/)

## Paper primary topic

- [Brain Tumor Detection and Classification](https://scholariq.org/topics/brain-tumor-detection-and-classification/)

## Paper topics

- [Brain Tumor Detection and Classification](https://scholariq.org/topics/brain-tumor-detection-and-classification/)
- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)
- [Machine Learning and ELM](https://scholariq.org/topics/machine-learning-and-elm/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.