# Deep learning enhances acute lymphoblastic leukemia diagnosis and classification using bone marrow images

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/deep-learning-enhances-acute-lymphoblastic-leukemia-diagnosis-and-classification/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Basel Elsayed,Mohamed Elhadary,Raghad Mohamed Elshoeibi,Amgad M. Elshoeibi,Ahmed Badr,Omar Metwally,rabab elsherif,Mohamed Elsayed Salem,Fatima Khadadah,Awni Alshurafa,Deena Mudawi,Mohamed A. Yassin |
| Citations | 44 |
| DOI | 10.3389/fonc.2023.1330977 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.frontiersin.org/articles/10.3389/fonc.2023.1330977/pdf?isPublishedV2=False |
| OpenAlex ID | https://openalex.org/W4389397838 |
| PMID | 38125946 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Mohamed Elhadary](https://scholariq.org/researchers/mohamed-elhadary/)

## Paper journal

- [Frontiers in Oncology](https://scholariq.org/journals/frontiers-in-oncology/)

## Paper primary topic

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

## Paper topics

- [Digital Imaging for Blood Diseases](https://scholariq.org/topics/digital-imaging-for-blood-diseases/)
- [Hematological disorders and diagnostics](https://scholariq.org/topics/hematological-disorders-and-diagnostics/)
- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)

---
Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.