# Deconv-transformer (DecT): A histopathological image classification model for breast cancer based on color deconvolution and transformer architecture

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/deconv-transformer-dect-a-histopathological-image-classification-model-for/

## Facts

| Field | Value |
| --- | --- |
| Author Names | He Zhu,Ming‐Wei Lin,Zeshui Xu,Zhiqiang Yao,Hong Chen,Adi Alhudhaif,Fayadh Alenezi |
| Citations | 138 |
| DOI | 10.1016/j.ins.2022.06.091 |
| Fields | Computer Science,Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4283746543 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Fayadh Alenezi](https://scholariq.org/researchers/fayadh-alenezi/)

## Paper primary topic

- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)

## Paper topics

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

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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.