Deep-learning-based detection of large vessel occlusion: A comparison of CT and diffusion-weighted imaging

In detecting the presence of anterior circulation LVO, DWI showed better results in each performance metric than CT&CI did, and the best-performing deep-learning model was DenseNet121.

Authors

Institutions

Publication Details

Journal
Digital Health
Published
2025-04-01
DOI
https://doi.org/10.1177/20552076251334040
Citations
1
Primary Topic
Acute Ischemic Stroke Management
Type
article
Field-Weighted Citation Impact
1.35
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Deep-learning-based detection of large vessel occlusion: A comparison of CT and diffusion-weighted imaging

Junyoung Park, Joong Shin Kang, Seung Yeon Ha, Kwang Gi Kim et al.
1 citations
Digital Health
Acute Ischemic Stroke Management
1.35
article

Deep-learning-based detection of large vessel occlusion: A comparison of CT and diffusion-weighted imaging

Junyoung Park, Joong Shin Kang, Seung Yeon Ha, Kwang Gi Kim, Bumjoon J. Kim, Young Jae Kim
article en
1 citations

Abstract

In detecting the presence of anterior circulation LVO, DWI showed better results in each performance metric than CT&CI did, and the best-performing deep-learning model was DenseNet121.

Digital HealthVol. 11
Gachon University (KR), Asan Medical Center (KR), University of Ulsan (KR), Gachon University Gil Medical Center (KR), Keimyung University (KR)
Good health and well-being
Openalex Percentile: Top 21%
Acute Ischemic Stroke Management
1.35
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.