# Brain tumour classification using two‐tier classifier with adaptive segmentation technique

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/brain-tumour-classification-using-two-tier-classifier-with-adaptive-segmentation/

## Facts

| Field | Value |
| --- | --- |
| Author Names | V. Anitha,S. Murugavalli |
| Citations | 218 |
| DOI | 10.1049/iet-cvi.2014.0193 |
| Fields | Computer Science,Neuroscience |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2259348520 |
| Type | article |
| Year | 2015 |

## Paper authors

- [S. Murugavalli](https://scholariq.org/researchers/s-murugavalli/)

## 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/)
- [Medical Image Segmentation Techniques](https://scholariq.org/topics/medical-image-segmentation-techniques/)
- [Neural Networks and Applications](https://scholariq.org/topics/neural-networks-and-applications/)

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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.