# Optimized Bayesian convolutional neural networks for invasive breast cancer diagnosis system

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/optimized-bayesian-convolutional-neural-networks-for-invasive-breast-cancer/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Dalia Ezzat,Aboul Ella Hassanien |
| Citations | 13 |
| DOI | 10.1016/j.asoc.2023.110810 |
| Fields | Computer Science,Neuroscience |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4386572249 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Dalia Ezzat](https://scholariq.org/researchers/dalia-ezzat/)

## 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/)
- [Brain Tumor Detection and Classification](https://scholariq.org/topics/brain-tumor-detection-and-classification/)
- [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.