# Enhancing liver tumor segmentation with UNet-ResNet: Leveraging ResNet’s power

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/enhancing-liver-tumor-segmentation-with-unet-resnet-leveraging-resnet-s-power/

## Facts

| Field | Value |
| --- | --- |
| Author Names | K. Selva Sheela,Vivek Justus,Renas Rajab Asaad,Rajiv Kumar |
| Citations | 15 |
| DOI | 10.3233/thc-230931 |
| Fields | Computer Science,Neuroscience |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4402169958 |
| PMID | 39240595 |
| Type | article |
| Year | 2024 |

## Paper authors

- [K. Selva Sheela](https://scholariq.org/researchers/k-selva-sheela/)

## Paper journal

- [Technology and Health Care](https://scholariq.org/journals/technology-and-health-care/)

## 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/)
- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)
- [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.