Hybrid 3D/2D Convolutional Neural Network for Hemorrhage Evaluation on Head CT

scientific article published on 26 July 2018

Hybrid 3D/2D Convolutional Neural Network for Hemorrhage Evaluation on Head CT is …
instance of (P31):
scholarly articleQ13442814

External links are
P356DOI10.3174/AJNR.A5742
P932PMC publication ID6128745
P698PubMed publication ID30049723

P50authorChristopher P. HessQ37831355
Brent D. WeinbergQ55571613
Christopher G FilippiQ57157237
Min-Ying SuQ60324678
Jack GrinbandQ60617985
Edward KuoyQ60697028
Daniel S ChowQ60697037
Peter ChangQ88632980
Richelle L HomoQ89839425
Matthew ThompsonQ90519331
Jefferson ChenQ90519340
Hermelinda AbcedeQ90519349
Mohammad ShafieQ90519356
Leo SugrueQ90519364
Wengui YuQ90519375
P2093author name stringJ Chen
M Thompson
W Yu
C Hess
M-Y Su
M Shafie
D Chow
J Grinband
P D Chang
C G Filippi
B D Weinberg
H Abcede
L Sugrue
R Homo
P2860cites workSegmentation and quantification of intra-ventricular/cerebral hemorrhage in CT scans by modified distance regularized level set evolution techniqueQ28716315
Critical care management of acute intracerebral hemorrhageQ34999261
Current intracerebral haemorrhage managementQ35085328
The relationship between subarachnoid hemorrhage volume and development of cerebral vasospasmQ36377542
Expansion of recruitment time window in antihypertensive treatment of acute cerebral hemorrhage (ATACH) II trialQ36452734
Surgical management of acute epidural hematomas.Q36482652
Imaging of Intracranial HemorrhageQ37640863
Incidence, case fatality, and functional outcome of intracerebral haemorrhage over time, according to age, sex, and ethnic origin: a systematic review and meta-analysisQ37670468
Development and Validation of an Automatic Segmentation Algorithm for Quantification of Intracerebral HemorrhageQ39323017
Automated Critical Test Findings Identification and Online Notification System Using Artificial Intelligence in ImagingQ39415568
Detecting Cardiovascular Disease from Mammograms With Deep LearningQ40437311
Computer-aided assessment of head computed tomography (CT) studies in patients with suspected traumatic brain injuryQ46244553
A multi-resolution approach for spinal metastasis detection using deep Siamese neural networksQ46329976
Quantifying the Impact of Noninterpretive Tasks on Radiology Report Turn-Around TimesQ47976988
Multi-scale Convolutional Neural Networks for Lung Nodule Classification.Q50575303
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks.Q50628729
Automatic subarachnoid space segmentation and hemorrhage detection in clinical head CT scans.Q51499188
Hematoma growth is a determinant of mortality and poor outcome after intracerebral hemorrhage.Q53541143
Rapid Blood-Pressure Lowering in Patients with Acute Intracerebral HemorrhageQ57156116
Factors affecting the prognosis in thalamic hemorrhageQ70999825
Enlargement of spontaneous intracerebral hemorrhage. Incidence and time courseQ71614861
Volume of intracerebral hemorrhage. A powerful and easy-to-use predictor of 30-day mortalityQ72808879
P433issue9
P407language of work or nameEnglishQ1860
P921main subjectconvolutional neural networkQ17084460
P304page(s)1609-1616
P577publication date2018-07-26
P1433published inAmerican Journal of NeuroradiologyQ15762571
P1476titleHybrid 3D/2D Convolutional Neural Network for Hemorrhage Evaluation on Head CT
P478volume39

Reverse relations

cites work (P2860)
Q101476260A fast and fully-automated deep-learning approach for accurate hemorrhage segmentation and volume quantification in non-contrast whole-head CT
Q90222038Artificial Intelligence in Clinical Neurosciences
Q90084864Classification of Aortic Dissection and Rupture on Post-contrast CT Images Using a Convolutional Neural Network
Q92581639Deep Learning-Assisted Diagnosis of Cerebral Aneurysms Using the HeadXNet Model
Q102388907Detection and classification of intracranial haemorrhage on CT images using a novel deep-learning algorithm
Q91526773Intracerebral Haemorrhage Segmentation in Non-Contrast CT
Q91659812Precise diagnosis of intracranial hemorrhage and subtypes using a three-dimensional joint convolutional and recurrent neural network
Q62492689Technical and clinical overview of deep learning in radiology

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