# SVM-Based Skin Cancer Diagnosis for Malignant and Benign Tumor Distinction

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/svm-based-skin-cancer-diagnosis-for-malignant-and-benign-tumor-distinction/

## Facts

| Field | Value |
| --- | --- |
| Author Names | G. Tanusha,K. Ashwini |
| Citations | 2 |
| DOI | 10.1007/978-3-031-69982-5_30 |
| Fields | Computer Science,Engineering,Medicine |
| Open Access | true |
| OA Status | green |
| OA URL | https://inria.hal.science/hal-05140726 |
| OpenAlex ID | https://openalex.org/W4401984940 |
| Type | conference-paper |
| Year | 2024 |

## Paper authors

- [G. Tanusha](https://scholariq.org/researchers/g-tanusha/)

## Paper journal

- [IFIP advances in information and communication technology](https://scholariq.org/journals/ifip-advances-in-information-and-communication-technology/)

## Paper primary topic

- [Cutaneous Melanoma Detection and Management](https://scholariq.org/topics/cutaneous-melanoma-detection-and-management/)

## Paper topics

- [Cutaneous Melanoma Detection and Management](https://scholariq.org/topics/cutaneous-melanoma-detection-and-management/)
- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)
- [Optical Coherence Tomography Applications](https://scholariq.org/topics/optical-coherence-tomography-applications/)

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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.