# Automatic Urticaria Activity Score: Deep Learning–Based Automatic Hive Counting for Urticaria Severity Assessment

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/automatic-urticaria-activity-score-deep-learning-based-automatic-hive-counting/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Taig Mac Carthy,Ignacio Hernández Montilla,Andy Aguilar,Rubén García Castro,Ana María González Pérez,Alejandro Vilas‐Sueiro,L. Vergara‐de‐la‐Campa,Fernando Alfageme,Alfonso Medela |
| Citations | 12 |
| DOI | 10.1016/j.xjidi.2023.100218 |
| Fields | Immunology and Microbiology,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | http://www.jidinnovations.org/article/S2667026723000437/pdf |
| OpenAlex ID | https://openalex.org/W4383896911 |
| PMID | 38075673 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Alfonso Medela](https://scholariq.org/researchers/alfonso-medela/)

## Paper primary topic

- [Urticaria and Related Conditions](https://scholariq.org/topics/urticaria-and-related-conditions/)

## Paper topics

- [Urticaria and Related Conditions](https://scholariq.org/topics/urticaria-and-related-conditions/)
- [Dermatology and Skin Diseases](https://scholariq.org/topics/dermatology-and-skin-diseases/)
- [Mast cells and histamine](https://scholariq.org/topics/mast-cells-and-histamine/)

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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.