# Deep learning techniques for liver and liver tumor segmentation: A review

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/deep-learning-techniques-for-liver-and-liver-tumor-segmentation-a-review/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Sidra Gul,Muhammad Salman Khan,Asima Bibi,Amith Khandakar,Mohamed Arselene Ayari,Muhammad E. H. Chowdhury |
| Citations | 165 |
| DOI | 10.1016/j.compbiomed.2022.105620 |
| Fields | Computer Science,Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4281620362 |
| PMID | 35667155 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Muhammad E. H. Chowdhury](https://scholariq.org/researchers/muhammad-e-h-chowdhury/)

## Paper primary topic

- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)

## Paper topics

- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)
- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)
- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)

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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.