Identification and prediction of acute intracranial hemorrhage by using CNN and RNN techniques
Open Access
- 1 January 2023
- conference paper
- Published by AIP Publishing in AIP Conference Proceedings
- Vol. 2899 (1) , 050027
Abstract
Computed tomography (CT) of the head is utilized worldwide to analyze neurologic crises. Brain hemorrhage could be an extreme danger symptom to human life, andKeywords
This publication has 27 references indexed in Scilit:
- A review on deep learning for future smart citiesInternet Technology Letters, 2020
- A CNN-LSTM Architecture for Detection of Intracranial Hemorrhage on CT scansmedRxiv, 2020
- Intracranial Hemorrhage Segmentation Using a Deep Convolutional ModelData, 2020
- Image Level Training and Prediction: Intracranial Hemorrhage Identification in 3D Non-Contrast CTIEEE Access, 2019
- Precise diagnosis of intracranial hemorrhage and subtypes using a three-dimensional joint convolutional and recurrent neural networkEuropean Radiology, 2019
- Deep Residual Learning for Image Recognition2016
- Rethinking the Inception Architecture for Computer Vision2016
- You Only Look Once: Unified, Real-Time Object Detection2016
- Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation2014
- ImageNet: A large-scale hierarchical image database2009