# Advancements in Brain Tumor Detection using Machine Learning Applications from MRI Image Analysis

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/advancements-in-brain-tumor-detection-using-machine-learning-applications-from/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Yerram Sneha,Y. Mohana Roopa,Padmini Sawant,M. Varaprasad Rao,D. Lakshmi Padmaja,R. V. S. Lalitha |
| Citations | 6 |
| DOI | 10.1109/i-smac58438.2023.10290231 |
| Fields | Computer Science,Medicine,Neuroscience |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4387951141 |
| Type | conference-paper |
| Year | 2023 |

## Paper authors

- [Yerram Sneha](https://scholariq.org/researchers/yerram-sneha/)

## 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/)
- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)

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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.