# Automated Tumor Volumetry Using Computer-Aided Image Segmentation

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/automated-tumor-volumetry-using-computer-aided-image-segmentation/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Bilwaj Gaonkar,Luke Macyszyn,Michel Bilello,Mohammed Salehi Sadaghiani,Hamed Akbari,Mark Attiah,Zarina S. Ali,Xiao Da,Yiqang Zhan,Donald O’ Rourke,Sean M. Grady,Christos Davatzikos |
| Citations | 40 |
| DOI | 10.1016/j.acra.2015.01.005 |
| Fields | Computer Science,Medicine,Neuroscience |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W1977232575 |
| PMID | 25770633 |
| Type | article |
| Year | 2015 |

## Paper authors

- [Luke Macyszyn](https://scholariq.org/researchers/luke-macyszyn/)

## Paper journal

- [Academic Radiology](https://scholariq.org/journals/academic-radiology/)

## Paper primary topic

- [Medical Image Segmentation Techniques](https://scholariq.org/topics/medical-image-segmentation-techniques/)

## Paper topics

- [Medical Image Segmentation Techniques](https://scholariq.org/topics/medical-image-segmentation-techniques/)
- [Glioma Diagnosis and Treatment](https://scholariq.org/topics/glioma-diagnosis-and-treatment/)
- [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.