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Comparative Analysis of Machine Learning for Stroke Classification Using YOLOv11 Detection and a Radiomics-Based Two-Stage Model

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Bibliographic Details
Published in:Jurnal Masyarakat Informatika
Format: Online Article RSS Article
Published: 2026
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container_title Jurnal Masyarakat Informatika
description
discipline_display Computer Engiineering
discipline_facet Computer Engiineering
format Online Article
RSS Article
genre Journal Article
id rss_article:78934
institution FRELIP
journal_source_facet Jurnal Masyarakat Informatika
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Comparative Analysis of Machine Learning for Stroke Classification Using YOLOv11 Detection and a Radiomics-Based Two-Stage Model
Computer Engiineering
General
Computer Engiineering
sub_discipline_display General
sub_discipline_facet General
subject_display Computer Engiineering
General
Computer Engiineering
Computer Engiineering
General
Computer Engiineering
subject_facet Computer Engiineering
General
Computer Engiineering
title Comparative Analysis of Machine Learning for Stroke Classification Using YOLOv11 Detection and a Radiomics-Based Two-Stage Model
title_auth Comparative Analysis of Machine Learning for Stroke Classification Using YOLOv11 Detection and a Radiomics-Based Two-Stage Model
title_full Comparative Analysis of Machine Learning for Stroke Classification Using YOLOv11 Detection and a Radiomics-Based Two-Stage Model
title_fullStr Comparative Analysis of Machine Learning for Stroke Classification Using YOLOv11 Detection and a Radiomics-Based Two-Stage Model
title_full_unstemmed Comparative Analysis of Machine Learning for Stroke Classification Using YOLOv11 Detection and a Radiomics-Based Two-Stage Model
title_short Comparative Analysis of Machine Learning for Stroke Classification Using YOLOv11 Detection and a Radiomics-Based Two-Stage Model
title_sort comparative analysis of machine learning for stroke classification using yolov11 detection and a radiomics-based two-stage model
topic Computer Engiineering
General
Computer Engiineering
url https://ejournal.undip.ac.id/index.php/jmasif/article/view/78464