# Detecting Coronary Artery Disease from Computed Tomography Images Using a Deep Learning Technique

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/detecting-coronary-artery-disease-from-computed-tomography-images-using-a-deep/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Abdulaziz Fahad Alothman,Abdul Rahaman Wahab Sait,Thamer Abdullah Alhussain |
| Citations | 24 |
| DOI | 10.3390/diagnostics12092073 |
| Fields | Engineering,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.mdpi.com/2075-4418/12/9/2073/pdf?version=1662542525 |
| OpenAlex ID | https://openalex.org/W4293420219 |
| PMID | 36140475 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Abdul Rahaman Wahab Sait](https://scholariq.org/researchers/abdul-rahaman-wahab-sait/)

## Paper journal

- [Diagnostics](https://scholariq.org/journals/diagnostics/)

## Paper primary topic

- [Advanced X-ray and CT Imaging](https://scholariq.org/topics/advanced-x-ray-and-ct-imaging/)

## Paper topics

- [Advanced X-ray and CT Imaging](https://scholariq.org/topics/advanced-x-ray-and-ct-imaging/)
- [Cardiac Imaging and Diagnostics](https://scholariq.org/topics/cardiac-imaging-and-diagnostics/)
- [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.