# A deep learning algorithm for automatic detection and classification of acute intracranial hemorrhages in head CT scans

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-deep-learning-algorithm-for-automatic-detection-and-classification-of-acute/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Xiyue Wang,Tao Shen,Sen Yang,Jun Lan,Yanming Xu,Minghui Wang,Jing Zhang,Xiao Han |
| Citations | 186 |
| DOI | 10.1016/j.nicl.2021.102785 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.sciencedirect.com/science/article/pii/S2213158221002291/pdf |
| OpenAlex ID | https://openalex.org/W3188199774 |
| PMID | 34411910 |
| Type | article |
| Year | 2021 |

## Paper authors

- [Sen Yang](https://scholariq.org/researchers/sen-yang/)

## Paper journal

- [NeuroImage Clinical](https://scholariq.org/journals/neuroimage-clinical/)

## Paper primary topic

- [Intracerebral and Subarachnoid Hemorrhage Research](https://scholariq.org/topics/intracerebral-and-subarachnoid-hemorrhage-research/)

## Paper topics

- [Intracerebral and Subarachnoid Hemorrhage Research](https://scholariq.org/topics/intracerebral-and-subarachnoid-hemorrhage-research/)
- [Machine Learning in Healthcare](https://scholariq.org/topics/machine-learning-in-healthcare/)
- [Topic Modeling](https://scholariq.org/topics/topic-modeling/)

---
Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.