# A Hybrid Transfer Learning Framework for Brain Tumor Diagnosis

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-hybrid-transfer-learning-framework-for-brain-tumor-diagnosis/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Sadia Islam Tonni,Md. Alif Sheakh,Mst. Sazia Tahosin,Md. Zahid Hasan,Taslima Ferdaus Shuva,Touhid Bhuiyan,Mohammad Ali Abdullah Almoyad,Nabil Anan Orka,Md. Tanvir Rahman,Risala Tasin Khan,M. Shamim Kaiser,Mohammad Ali Moni |
| Citations | 30 |
| DOI | 10.1002/aisy.202400495 |
| Fields | Computer Science,Neuroscience |
| Open Access | true |
| OA Status | gold |
| OA URL | https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/aisy.202400495 |
| OpenAlex ID | https://openalex.org/W4407153624 |
| Type | article |
| Year | 2025 |

## Paper authors

- [Md. Alif Sheakh](https://scholariq.org/researchers/md-alif-sheakh/)

## 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/)
- [Machine Learning and ELM](https://scholariq.org/topics/machine-learning-and-elm/)
- [Domain Adaptation and Few-Shot Learning](https://scholariq.org/topics/domain-adaptation-and-few-shot-learning/)

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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.