AIMC Topic: Hematoma

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Hematoma Expansion Context Guided Intracranial Hemorrhage Segmentation and Uncertainty Estimation.

IEEE journal of biomedical and health informatics Mar 7, 2022
Accurate segmentation of the Intracranial Hemorrhage (ICH) in non-contrast CT images is significant for computer-aided diagnosis. Although existing methods have achieved remarkable 1 1 The code will be available from https://github.com/JohnleeHIT/SLE...
Image Processing, Computer-Assisted Hematoma Intracranial Hemorrhages Uncertainty Humans Neural Networks, Computer
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Advances in computed tomography-based prognostic methods for intracerebral hemorrhage.

Neurosurgical review Feb 28, 2022
Spontaneous intracerebral hemorrhage (ICH) has high morbidity and mortality. Computed tomography (CT) plays an important role in the diagnosis, treatment, and research of cerebrovascular diseases. Non-contrast CT is widely used in the clinical diagno...
Tomography, X-Ray Computed Cerebral Hemorrhage Brain Edema Artificial Intelligence Biomarkers Prognosis Humans Hematoma
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Weakly supervised multitask learning models to identify symptom onset time of unclear-onset intracerebral hemorrhage.

International journal of stroke : official journal of the International Stroke Society Oct 17, 2021
BACKGROUND: Approximately one-third of spontaneous intracerebral hemorrhage patients did not know the onset time and were excluded from studies about time-dependent treatments for hyperacute spontaneous intracerebral hemorrhage.
Artificial Intelligence Tomography, X-Ray Computed Cerebral Hemorrhage Stroke Hematoma Humans
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A Robust Deep Learning Segmentation Method for Hematoma Volumetric Detection in Intracerebral Hemorrhage.

Stroke Oct 4, 2021
BACKGROUND AND PURPOSE: Hematoma volume (HV) is a significant diagnosis for determining the clinical stage and therapeutic approach for intracerebral hemorrhage (ICH). The aim of this study is to develop a robust deep learning segmentation method for...
Humans Databases, Factual Prospective Studies Aged Adult Male Retrospective Studies Tomography, X-Ray Computed Female Cerebral Hemorrhage Middle Aged Hematoma Deep Learning Image Processing, Computer-Assisted
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Can perihaematomal radiomics features predict haematoma expansion?

Clinical radiology Apr 13, 2021
AIM: To evaluate the association between perihaematomal radiomics features and haematoma expansion (HE).
Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Hematoma Aged Male Middle Aged Disease Progression Support Vector Machine Cerebral Hemorrhage Tomography, X-Ray Computed Female Reproducibility of Results Humans Brain Retrospective Studies
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Deep learning for automatically predicting early haematoma expansion in Chinese patients.

Stroke and vascular neurology Feb 1, 2021
BACKGROUND AND PURPOSE: Early haematoma expansion is determinative in predicting outcome of intracerebral haemorrhage (ICH) patients. The aims of this study are to develop a novel prediction model for haematoma expansion by applying deep learning mod...
Humans Tomography, X-Ray Computed Deep Learning China Cerebral Hemorrhage Hematoma
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Association of baseline hematoma and edema volumes with one-year outcome and long-term survival after spontaneous intracerebral hemorrhage: A community-based inception cohort study.

International journal of stroke : official journal of the International Stroke Society Nov 25, 2020
BACKGROUND: Hospital-based studies have reported variable associations between outcome after spontaneous intracerebral hemorrhage and peri-hematomal edema volume.
Cohort Studies Cerebral Hemorrhage Aged Brain Edema Humans Stroke Hematoma Adult Prospective Studies Male Female
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Deep Learning for Automated Measurement of Hemorrhage and Perihematomal Edema in Supratentorial Intracerebral Hemorrhage.

Stroke Dec 6, 2019
Background and Purpose- Volumes of hemorrhage and perihematomal edema (PHE) are well-established biomarkers of primary and secondary injury, respectively, in spontaneous intracerebral hemorrhage. An automated imaging pipeline capable of accurately an...
Humans Brain Edema Deep Learning Algorithms Hematoma Female Cohort Studies Edema Male Cerebral Hemorrhage Middle Aged
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Fully Automated Segmentation Algorithm for Hematoma Volumetric Analysis in Spontaneous Intracerebral Hemorrhage.

Stroke Nov 18, 2019
Background and Purpose- Hematoma volume measurements influence prognosis and treatment decisions in patients with spontaneous intracerebral hemorrhage (ICH). The aims of this study are to derive and validate a fully automated segmentation algorithm f...
Neuroimaging Cerebral Hemorrhage Hematoma Image Interpretation, Computer-Assisted Humans Deep Learning
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Radiomics features on non-contrast computed tomography predict early enlargement of spontaneous intracerebral hemorrhage.

Clinical neurology and neurosurgery Aug 15, 2019
OBJECTIVE: To explore the value of radiomics features on non-contrast computed tomography (NCCT) in predicting early enlargement of spontaneous intracerebral hemorrhage (SICH).
Tomography, X-Ray Computed Female Aged Hematoma Image Processing, Computer-Assisted Male Humans Machine Learning Support Vector Machine Algorithms Middle Aged Cerebral Hemorrhage Prognosis Disease Progression
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