# StomachNet: Optimal Deep Learning Features Fusion for Stomach Abnormalities Classification

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/stomachnet-optimal-deep-learning-features-fusion-for-stomach-abnormalities/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Muhammad Attique Khan,Muhammad Shahzad Sarfraz,Majed Alhaisoni,Abdulaziz Albesher,Shuihua Wang,Imran Ashraf |
| Citations | 97 |
| DOI | 10.1109/access.2020.3034217 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://ieeexplore.ieee.org/ielx7/6287639/8948470/09240940.pdf |
| OpenAlex ID | https://openalex.org/W3095142972 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Majed Alhaisoni](https://scholariq.org/researchers/majed-alhaisoni/)

## Paper journal

- [IEEE Access](https://scholariq.org/journals/ieee-access/)

## Paper primary topic

- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)

## Paper topics

- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)
- [Machine Learning and ELM](https://scholariq.org/topics/machine-learning-and-elm/)
- [Gastrointestinal Bleeding Diagnosis and Treatment](https://scholariq.org/topics/gastrointestinal-bleeding-diagnosis-and-treatment/)

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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.