# Digital Imaging for Blood Diseases

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/digital-imaging-for-blood-diseases-2/

## Facts

| Field | Value |
| --- | --- |
| Citations | 170,057 |
| Description | This cluster of papers focuses on the automated analysis of blood cell images, particularly in the context of detecting malaria parasites and classifying leukemia. The research utilizes techniques such as image processing, convolutional neural networks, and machine learning for tasks including white blood cell segmentation, feature extraction, and automated diagnosis from microscopic blood images. |
| Domain | Physical Sciences |
| Field | Computer Science |
| OpenAlex ID | https://openalex.org/T12874 |
| Works | 32,412 |

## Topic researchers

Showing 12 of 20.

- [Eric S. Lander](https://scholariq.org/researchers/eric-s-lander/)
- [Geoffrey E. Hinton](https://scholariq.org/researchers/geoffrey-e-hinton/)
- [Simon I Hay](https://scholariq.org/researchers/simon-i-hay/)
- [Todd R. Golub](https://scholariq.org/researchers/todd-r-golub/)
- [Yann LeCun](https://scholariq.org/researchers/yann-lecun/)
- [Jill P. Mesirov](https://scholariq.org/researchers/jill-p-mesirov/)
- [Tien Yin Wong](https://scholariq.org/researchers/tien-yin-wong/)
- [Dirk Schadendorf](https://scholariq.org/researchers/dirk-schadendorf/)
- [Olaf Ronneberger](https://scholariq.org/researchers/olaf-ronneberger/)
- [Peter W. Gething](https://scholariq.org/researchers/peter-w-gething/)
- [Pablo Tamayo](https://scholariq.org/researchers/pablo-tamayo/)
- [Thomas Brox](https://scholariq.org/researchers/thomas-brox/)

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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.