# An Automated Approach for Brain Tumor Identification using ANN Classifier

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/an-automated-approach-for-brain-tumor-identification-using-ann-classifier/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Virupakshappa Virupakshappa,Basavaraj Amarapur |
| Citations | 21 |
| DOI | 10.1109/ctceec.2017.8455154 |
| Fields | Computer Science,Neuroscience |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2890341778 |
| Type | conference-paper |
| Year | 2017 |

## Paper authors

- [Virupakshappa Virupakshappa](https://scholariq.org/researchers/virupakshappa-virupakshappa/)

## Paper journal

- [2017 International Conference on Current Trends in Computer, Electrical, Electronics and Communication (CTCEEC)](https://scholariq.org/journals/2017-international-conference-on-current-trends-in-computer-electrical/)

## 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/)
- [Digital Imaging for Blood Diseases](https://scholariq.org/topics/digital-imaging-for-blood-diseases/)
- [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.