# Modified Otsu thresholding based level set and local directional ternary pattern technique for liver tumor segmentation

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/modified-otsu-thresholding-based-level-set-and-local-directional-ternary-pattern/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Deepak S. Uplaonkar,Virupakshappa Virupakshappa,Nagabhushan Patil |
| Citations | 18 |
| DOI | 10.1007/s13198-022-01637-x |
| Fields | Computer Science,Neuroscience |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4205500180 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Virupakshappa Virupakshappa](https://scholariq.org/researchers/virupakshappa-virupakshappa/)

## Paper journal

- [International Journal of Systems Assurance Engineering and Management](https://scholariq.org/journals/international-journal-of-systems-assurance-engineering-and-management/)

## 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/)
- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)
- [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.