A CNN-LSTM architecture for detection of intracranial hemorrhage on CT scans

NT Nguyen, DQ Tran, NT Nguyen, HQ Nguyen - medRxiv, 2020 - medrxiv.org
We propose a novel method that combines a convolutional neural network (CNN) with a
long short-term memory (LSTM) mechanism for accurate prediction of intracranial …
被引用次数：54 相关文章

A CNN-LSTM Architecture for Detection of Intracranial Hemorrhage on CT scans

NT Nguyen, DQ Tran, NT Nguyen… - Medical Imaging with Deep … - openreview.net
We propose a novel method that combines a convolutional neural network (CNN) with a
long short-term memory (LSTM) mechanism for accurate prediction of intracranial …

A CNN-LSTM Architecture for Detection of Intracranial Hemorrhage on CT scans

NT Nguyen, DQ Tran, HQ Nguyen - 2020 - europepmc.org
We propose a novel method that combines a convolutional neural network (CNN) with a
long short-term memory (LSTM) mechanism for accurate prediction of intracranial …

A CNN-LSTM Architecture for Detection of Intracranial Hemorrhage on CT scans

NT Nguyen, DQ Tran, NT Nguyen… - arXiv preprint arXiv …, 2020 - arxiv.org
We propose a novel method that combines a convolutional neural network (CNN) with a
long short-term memory (LSTM) mechanism for accurate prediction of intracranial …

CNN-LSTM Architecture for Detection of Intracranial Hemorrhage on CT scans

NT Nguyen, DQ Tran - 2020.midl.io
CNN-LSTM Architecture for Detection of Intracranial Hemorrhage on CT scans Page 1 CNN-LSTM
Architecture for Detection of Intracranial Hemorrhage on CT scans Nhan T. Nguyen, Dat Q …

A CNN-LSTM Architecture for Detection of Intracranial Hemorrhage on CT scans

NT Nguyen, DQ Tran, NT Nguyen… - arXiv e-prints, 2020 - ui.adsabs.harvard.edu
We propose a novel method that combines a convolutional neural network (CNN) with a
long short-term memory (LSTM) mechanism for accurate prediction of intracranial …