Full Text Available

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

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

Saved in:
Bibliographic Details
Published in:Jurnal Masyarakat Informatika
Format: Online Article RSS Article
Published: 2026
Subjects:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1864030191084371968
collection WordPress RSS
FRELIP Feed Integration
container_title Jurnal Masyarakat Informatika
description
discipline_display Engineering & Technology
discipline_facet Engineering & Technology
format Online Article
RSS Article
genre Journal Article
id rss_article:9136
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 Engineering
Computer Science & IT
Engineering & Technology
sub_discipline_display Computer Science & IT
sub_discipline_facet Computer Science & IT
subject_display — — — — — Computer Engineering
Computer Science & IT
Engineering & Technology
— — — — — Computer Engineering
Computer Science & IT
Engineering & Technology
subject_facet — — — — — Computer Engineering
Computer Science & IT
Engineering & Technology
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 Engineering
Computer Science & IT
Engineering & Technology
url https://ejournal.undip.ac.id/index.php/jmasif/article/view/78464