# A fuzzy clustering based segmentation system as support to diagnosis in medical imaging

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-fuzzy-clustering-based-segmentation-system-as-support-to-diagnosis-in-medical/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Francesco Masulli,Andrea Schenone |
| Citations | 148 |
| DOI | 10.1016/s0933-3657(98)00069-4 |
| Fields | Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2137206388 |
| PMID | 10378441 |
| Type | article |
| Year | 1999 |

## Paper authors

- [Francesco Masulli](https://scholariq.org/researchers/francesco-masulli/)

## Paper journal

- [Artificial Intelligence in Medicine](https://scholariq.org/journals/artificial-intelligence-in-medicine/)

## Paper primary topic

- [Advanced Clustering Algorithms Research](https://scholariq.org/topics/advanced-clustering-algorithms-research/)

## Paper topics

- [Advanced Clustering Algorithms Research](https://scholariq.org/topics/advanced-clustering-algorithms-research/)
- [Image Retrieval and Classification Techniques](https://scholariq.org/topics/image-retrieval-and-classification-techniques/)
- [Medical Image Segmentation Techniques](https://scholariq.org/topics/medical-image-segmentation-techniques/)

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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.