# Brain Tumor Classification using VGG 16, ResNet50, and Inception V3 Transfer Learning Models

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/brain-tumor-classification-using-vgg-16-resnet50-and-inception-v3-transfer/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Rudresh Pillai,Avinash Sharma,Neha Sharma,Rupesh Gupta |
| Citations | 48 |
| DOI | 10.1109/inocon57975.2023.10101252 |
| Fields | Computer Science,Neuroscience |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4366374377 |
| Type | conference-paper |
| Year | 2023 |

## Paper authors

- [Rupesh Gupta](https://scholariq.org/researchers/rupesh-gupta/)

## 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.