# Medical Image Segmentation Techniques

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/medical-image-segmentation-techniques-2/

## Facts

| Field | Value |
| --- | --- |
| Citations | 1,411,859 |
| Description | This cluster of papers covers advances in image segmentation techniques, particularly focusing on medical image analysis, graph cuts, active contours, MRI segmentation, deformable image registration, level set methods, statistical shape models, deep learning, and texture analysis. |
| Domain | Physical Sciences |
| Field | Computer Science |
| OpenAlex ID | https://openalex.org/T10052 |
| Works | 86,900 |

## Topic researchers

Showing 12 of 20.

- [Yoshua Bengio](https://scholariq.org/researchers/yoshua-bengio/)
- [Robert Tibshirani](https://scholariq.org/researchers/robert-tibshirani/)
- [Karl Friston](https://scholariq.org/researchers/karl-friston/)
- [Trevor Hastie](https://scholariq.org/researchers/trevor-hastie/)
- [Mark I. McCarthy](https://scholariq.org/researchers/mark-i-mccarthy/)
- [Andrew Zisserman](https://scholariq.org/researchers/andrew-zisserman/)
- [Xiaogang Wang](https://scholariq.org/researchers/xiaogang-wang/)
- [Yann LeCun](https://scholariq.org/researchers/yann-lecun/)
- [Tien Yin Wong](https://scholariq.org/researchers/tien-yin-wong/)
- [Vladimir Vapnik](https://scholariq.org/researchers/vladimir-vapnik/)
- [Jerome H. Friedman](https://scholariq.org/researchers/jerome-h-friedman/)
- [Clifford R. Jack](https://scholariq.org/researchers/clifford-r-jack/)

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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.