Full Text Available

Note: Clicking the button above will open the full text document at the original institutional repository in a new window.

An Intelligent Dermoscopic Image Analysis Framework for Skin Cancer Detection Using Enhanced Metaheuristic-Optimised Support Vector Machines

Saved in:
Bibliographic Details
Published in:LAUTECH Journal of Computing and Informatics (LAUJCI)
Format: Online Article RSS Article
Published: 2026
Subjects:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1868553614162657281
collection WordPress RSS
FRELIP Feed Integration
container_title LAUTECH Journal of Computing and Informatics (LAUJCI)
description
discipline_display Computer Science-Nigeria
discipline_facet Computer Science-Nigeria
format Online Article
RSS Article
genre Journal Article
id rss_article:77802
institution FRELIP
journal_source_facet LAUTECH Journal of Computing and Informatics (LAUJCI)
last_indexed 2026-06-20T21:39:49.249Z
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle An Intelligent Dermoscopic Image Analysis Framework for Skin Cancer Detection Using Enhanced Metaheuristic-Optimised Support Vector Machines
Computer Science-Nigeria
General
Computer Science-Nigeria
sub_discipline_display General
sub_discipline_facet General
subject_display Computer Science-Nigeria
General
Computer Science-Nigeria
subject_facet Computer Science-Nigeria
General
Computer Science-Nigeria
title An Intelligent Dermoscopic Image Analysis Framework for Skin Cancer Detection Using Enhanced Metaheuristic-Optimised Support Vector Machines
title_alt Un marco inteligente de análisis de imágenes dermatoscópicas para detección de cáncer de piel utilizando máquinas de vectores de soporte optimizadas con metaheurística mejorada
Un cadre intelligent d'analyse d'images dermoscopiques pour la détection du cancer de la peau utilisant des machines à vecteurs de support optimisées par métaheuristique améliorée
Um Quadro Inteligente de Análise de Imagens Dermatoscópicas para Detecção de Câncer de Pele Usando Máquinas de Vetores de Suporte Otimizadas por Metaheurística Aprimorada
title_auth An Intelligent Dermoscopic Image Analysis Framework for Skin Cancer Detection Using Enhanced Metaheuristic-Optimised Support Vector Machines
title_es_txt Un marco inteligente de análisis de imágenes dermatoscópicas para detección de cáncer de piel utilizando máquinas de vectores de soporte optimizadas con metaheurística mejorada
title_fr_txt Un cadre intelligent d'analyse d'images dermoscopiques pour la détection du cancer de la peau utilisant des machines à vecteurs de support optimisées par métaheuristique améliorée
title_full An Intelligent Dermoscopic Image Analysis Framework for Skin Cancer Detection Using Enhanced Metaheuristic-Optimised Support Vector Machines
title_fullStr An Intelligent Dermoscopic Image Analysis Framework for Skin Cancer Detection Using Enhanced Metaheuristic-Optimised Support Vector Machines
title_full_unstemmed An Intelligent Dermoscopic Image Analysis Framework for Skin Cancer Detection Using Enhanced Metaheuristic-Optimised Support Vector Machines
title_pt_txt Um Quadro Inteligente de Análise de Imagens Dermatoscópicas para Detecção de Câncer de Pele Usando Máquinas de Vetores de Suporte Otimizadas por Metaheurística Aprimorada
title_short An Intelligent Dermoscopic Image Analysis Framework for Skin Cancer Detection Using Enhanced Metaheuristic-Optimised Support Vector Machines
title_sort an intelligent dermoscopic image analysis framework for skin cancer detection using enhanced metaheuristic-optimised support vector machines
topic Computer Science-Nigeria
General
Computer Science-Nigeria
url http://laujci.lautech.edu.ng/index.php/laujci/article/view/182