# VGG19 Network Assisted Joint Segmentation and Classification of Lung Nodules in CT Images

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/vgg19-network-assisted-joint-segmentation-and-classification-of-lung-nodules-in/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Muhammad Attique Khan,V. Rajinikanth,Suresh Chandra Satapathy,David Taniar,Jnyana Ranjan Mohanty,Usman Tariq,Robertas Damaševičius |
| Citations | 139 |
| DOI | 10.3390/diagnostics11122208 |
| Fields | Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.mdpi.com/2075-4418/11/12/2208/pdf?version=1638153696 |
| OpenAlex ID | https://openalex.org/W3217412913 |
| PMID | 34943443 |
| Type | article |
| Year | 2021 |

## Paper authors

- [Muhammad Attique Khan](https://scholariq.org/researchers/muhammad-attique-khan/)
- [Usman Tariq](https://scholariq.org/researchers/usman-tariq/)

## Paper journal

- [Diagnostics](https://scholariq.org/journals/diagnostics/)

## Paper primary topic

- [Lung Cancer Diagnosis and Treatment](https://scholariq.org/topics/lung-cancer-diagnosis-and-treatment/)

## Paper topics

- [Lung Cancer Diagnosis and Treatment](https://scholariq.org/topics/lung-cancer-diagnosis-and-treatment/)
- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)
- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)

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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.