# RadFormer: Transformers with global–local attention for interpretable and accurate Gallbladder Cancer detection

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/radformer-transformers-with-global-local-attention-for-interpretable-and/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Soumen Basu,Mayank Gupta,Pratyaksha Rana,Pankaj Gupta,Chetan Arora |
| Citations | 56 |
| DOI | 10.1016/j.media.2022.102676 |
| Fields | Biochemistry, Genetics and Molecular Biology,Computer Science,Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4309566957 |
| PMID | 36455424 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Chetan Arora](https://scholariq.org/researchers/chetan-arora/)

## Paper primary topic

- [Cancer-related molecular mechanisms research](https://scholariq.org/topics/cancer-related-molecular-mechanisms-research/)

## Paper topics

- [Cancer-related molecular mechanisms research](https://scholariq.org/topics/cancer-related-molecular-mechanisms-research/)
- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)
- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)

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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.