ArticleScientific data2025
Core-Penumbra Hyperacute Ischemic Stroke Dataset.
Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
2 citing papers in PubMed.
- Unified multimodal learning for stroke triage: joint detection, scoring, and segmentation of acute ischemic stroke.NPJ digital medicine · 2026Article
- Non-Contrast Brain CT Images Segmentation Enhancement: Lightweight Pre-Processing Model for Ultra-Early Ischemic Lesion Recognition and Segmentation.Journal of imaging · 2025Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We introduce the CPAISD: Core-Penumbra hyperAcute Ischemic Stroke Dataset, aimed at enhancing the early detection of ischemic stroke using Non-Contrast Computed Tomography (NCCT) scans. Hyperacute ischemic stroke is the earliest phase of stroke, characterized by subtle or absent findings on NCCT scans, which complicates timely diagnosis. The dataset provides a collection of segmented NCCT images, including annotations of ischemic core and penumbra regions, critical for developing machine learning models for rapid stroke identification and assessment. By offering a carefully collected and annotated dataset, we aim to facilitate the development of advanced diagnostic tools, contributing to improved patient care and outcomes in stroke management. Our dataset uniquely focuses on the hyperacute phase, where NCCT scans typically show minimal or no signs of stroke, and includes a baseline model demonstrating its utility.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.