# Automated Tumor Segmentation in Radiotherapy

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/automated-tumor-segmentation-in-radiotherapy/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Ricky R. Savjani,Michael Lauria,Supratik Bose,Jie Deng,Ye Yuan,Vincent Andrearczyk |
| Citations | 36 |
| DOI | 10.1016/j.semradonc.2022.06.002 |
| Fields | Medicine,Physics and Astronomy |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://www.sciencedirect.com/science/article/pii/S1053429622000315/pdf |
| OpenAlex ID | https://openalex.org/W4300687494 |
| PMID | 36202435 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Jie Deng](https://scholariq.org/researchers/jie-deng-2/)

## Paper primary topic

- [Advanced Radiotherapy Techniques](https://scholariq.org/topics/advanced-radiotherapy-techniques/)

## Paper topics

- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)
- [Advanced Radiotherapy Techniques](https://scholariq.org/topics/advanced-radiotherapy-techniques/)
- [Medical Imaging Techniques and Applications](https://scholariq.org/topics/medical-imaging-techniques-and-applications/)

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