# Convolutional neural networks for medical image analysis: State-of-the-art, comparisons, improvement and perspectives

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/convolutional-neural-networks-for-medical-image-analysis-state-of-the-art/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Hang Yu,Laurence T. Yang,Qingchen Zhang,David Armstrong,M. Jamal Deen |
| Citations | 405 |
| DOI | 10.1016/j.neucom.2020.04.157 |
| Fields | Computer Science,Medicine,Neuroscience |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W3122230257 |
| Type | article |
| Year | 2021 |

## Paper authors

- [David Armstrong](https://scholariq.org/researchers/david-armstrong/)

## 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/)
- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)
- [Brain Tumor Detection and Classification](https://scholariq.org/topics/brain-tumor-detection-and-classification/)

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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.