Fuzzy decision ontology for melanoma diagnosis using KNN classifier-Reference-Cited by-同舟云学术

Fuzzy decision ontology for melanoma diagnosis using KNN classifier

Published:2021-04-18 Issue: Volume: Page:
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Abbes Wiem^ORCID,Sellami Dorra,Marc-Zwecker Stella,Zanni-Merk Cecilia

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-021-10858-4.pdf

Reference37 articles.

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3. Abbes W, Sellami D (2017) Automatic skin lesions classification using ontology-based semantic analysis of optical standard images. Procedia Comput Sci 112:2096–2105

4. ACS (2019) Cancer facts and figures 2019, american cancer society. Accessed at web.archive.org/web/ 20191008163453/ https://cancerstatisticscenter.cancer.org/?_ga=2.60550250.6525233021550525710-937655358.1545427513/

5. Amelard R, Glaister J, Wong A, Clausi D (2015) High-level intuitive features (hlifs) for intuitive skin lesion description. IEEE Trans Biomed Eng 62 (3):820–831

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