# Quantitative PET lesion delineation using a three-dimensional adaptive threshold region growing algorithm (RGA): A method for calibration

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/quantitative-pet-lesion-delineation-using-a-three-dimensional-adaptive-threshold/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Katherine Gagnon,Terence Riauka,Alexander McEwan,Don Robinson |
| Citations | 0 |
| DOI | 10.3390/bioengineering10010059 |
| Fields | Engineering,Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W36671631 |
| Type | article |
| Year | 2009 |

## Paper authors

- [Katherine Gagnon](https://scholariq.org/researchers/katherine-gagnon/)
- [Alexander McEwan](https://scholariq.org/researchers/alexander-mcewan/)
- [Terence Riauka](https://scholariq.org/researchers/terence-riauka/)
- [Don Robinson](https://scholariq.org/researchers/don-robinson/)

## Paper primary topic

- [Medical Imaging Techniques and Applications](https://scholariq.org/topics/medical-imaging-techniques-and-applications/)

## Paper topics

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

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