# Brain Tumor Detection and Classification from Multi-sequence MRI: Study Using ConvNets

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/brain-tumor-detection-and-classification-from-multi-sequence-mri-study-using/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Subhashis Banerjee,Sushmita Mitra,Francesco Masulli,Stefano Rovetta |
| Citations | 51 |
| DOI | 10.1007/978-3-030-11723-8_17 |
| Fields | Computer Science,Neuroscience |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2911587705 |
| Type | conference-paper |
| Year | 2019 |

## Paper authors

- [Francesco Masulli](https://scholariq.org/researchers/francesco-masulli/)
- [Stefano Rovetta](https://scholariq.org/researchers/stefano-rovetta/)

## Paper journal

- [Lecture notes in computer science](https://scholariq.org/journals/lecture-notes-in-computer-science/)

## 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/)
- [Medical Image Segmentation Techniques](https://scholariq.org/topics/medical-image-segmentation-techniques/)

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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.