# ECgMLP: A novel gated MLP model for enhanced endometrial cancer diagnosis

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/ecgmlp-a-novel-gated-mlp-model-for-enhanced-endometrial-cancer-diagnosis/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Md. Alif Sheakh,Sami Azam,Mst. Sazia Tahosin,Asif Karim,Sidratul Montaha,Kayes Uddin Fahim,Niusha Shafiabady,Mirjam Jonkman,Friso De Boer |
| Citations | 25 |
| DOI | 10.1016/j.cmpbup.2025.100181 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://doi.org/10.1016/j.cmpbup.2025.100181 |
| OpenAlex ID | https://openalex.org/W4406757901 |
| Type | article |
| Year | 2025 |

## Paper authors

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

## 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.