# NeuroNet19: an explainable deep neural network model for the classification of brain tumors using magnetic resonance imaging data

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/neuronet19-an-explainable-deep-neural-network-model-for-the-classification-of/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Rezuana Haque,Md. Mehedi Hassan,Anupam Kumar Bairagi,Sheikh Mohammed Shariful Islam |
| Citations | 75 |
| DOI | 10.1038/s41598-024-51867-1 |
| Fields | Computer Science,Medicine,Neuroscience |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.nature.com/articles/s41598-024-51867-1.pdf |
| OpenAlex ID | https://openalex.org/W4390941945 |
| PMID | 38233516 |
| Type | article |
| Year | 2024 |

## Paper authors

- [Anupam Kumar Bairagi](https://scholariq.org/researchers/anupam-kumar-bairagi/)

## Paper journal

- [Scientific Reports](https://scholariq.org/journals/scientific-reports/)

## 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/)
- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)

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