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Norah Saleh Alghamdi
Researcher at Princess Nora bint Abdul Rahman University
Publications - 53
Citations - 472
Norah Saleh Alghamdi is an academic researcher from Princess Nora bint Abdul Rahman University. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 6, co-authored 31 publications receiving 110 citations. Previous affiliations of Norah Saleh Alghamdi include Taif University & La Trobe University.
Papers
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Journal ArticleDOI
A Secure Framework for Authentication and Encryption Using Improved ECC for IoT-Based Medical Sensor Data
TL;DR: The overall performance is analyzed by comparing the proposed improved ECC with existing Rivest–Shamir–Adleman (RSA)and ECC algorithms.
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A deep learning-based approach for automatic segmentation and quantification of the left ventricle from cardiac cine MR images.
Hisham Abdeltawab,Fahmi Khalifa,Fatma Taher,Norah Saleh Alghamdi,Mohammed Ghazal,Garth M. Beache,Tamer M.A. Mohamed,Robert S. Keynton,Ayman El-Baz +8 more
TL;DR: A deep learning approach that can be translated into a clinical tool for heart diagnosis by achieving lower errors for the estimated heart parameters compared to the previous studies is proposed by proposing a novel deep learning segmentation method.
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Sentiment classification and aspect-based sentiment analysis on yelp reviews using deep learning and word embeddings
TL;DR: This research analysed the content of online reviews including the text of reviews and their rankings to support opinion mining and found that opinion mining has significantly supported knowledge and decision-making.
Journal ArticleDOI
Predicting Depression Symptoms in an Arabic Psychological Forum
Norah Saleh Alghamdi,Hanan A. Hosni Mahmoud,Ajith Abraham,Samar Awadh Alanazi,Laura García-Hernández +4 more
TL;DR: It is demonstrated that the applied approaches exhibit promising performance in predicting whether a post corresponds to depression symptoms, with an accuracy of more than 80%, a recall of 82% and a precision of 79%.
Journal ArticleDOI
Extraction of Retinal Layers Through Convolution Neural Network (CNN) in an OCT Image for Glaucoma Diagnosis
Hina Raja,M. Usman Akram,Arslan Shaukat,Shoab A. Khan,Norah Saleh Alghamdi,Sajid Gul Khawaja,Noman Nazir +6 more
TL;DR: The proposed system employs the convolution neural network (CNN) for automatic segmentation of the retinal layers and uses structure tensors to extract candidate layer pixels, and a patch across each candidate layer pixel is extracted, which is classified using CNN.