# Melanoma segmentation: A framework of improved <scp>DenseNet77</scp> and <scp>UNET</scp> convolutional neural network

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/melanoma-segmentation-a-framework-of-improved-scp-densenet77-scp-and-scp-unet/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Marriam Nawaz,Tahira Nazir,Momina Masood,Farooq Ali,Muhammad Attique Khan,Usman Tariq,Naveera Sahar,Robertas Damaševičius |
| Citations | 84 |
| DOI | 10.1002/ima.22750 |
| Fields | Computer Science,Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4280531133 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Momina Masood](https://scholariq.org/researchers/momina-masood/)

## Paper primary topic

- [Cutaneous Melanoma Detection and Management](https://scholariq.org/topics/cutaneous-melanoma-detection-and-management/)

## Paper topics

- [Cutaneous Melanoma Detection and Management](https://scholariq.org/topics/cutaneous-melanoma-detection-and-management/)
- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)
- [Skin Protection and Aging](https://scholariq.org/topics/skin-protection-and-aging/)

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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.