# Harnessing Deep Learning for Early Breast Cancer Diagnosis: A Review of Datasets, Methods, Challenges, and Future Directions

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/harnessing-deep-learning-for-early-breast-cancer-diagnosis-a-review-of-datasets/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Marwa Ammar,Faten Labbene Ayachi,Anselmo Cardoso de Paiva,Riadh Ksantini,Halima Mahjoubi |
| Citations | 27 |
| DOI | 10.12785/ijcds/1601122 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | diamond |
| OA URL | https://doi.org/10.12785/ijcds/1601122 |
| OpenAlex ID | https://openalex.org/W4401287663 |
| Type | article |
| Year | 2024 |

## Paper authors

- [Riadh Ksantini](https://scholariq.org/researchers/riadh-ksantini/)

## Paper journal

- [International Journal of Computing and Digital Systems](https://scholariq.org/journals/international-journal-of-computing-and-digital-systems/)

## 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/)

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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.