289 citations
- University of BishaSA5 papers
- Stellenbosch UniversityZA4 papers
- Université de Yaoundé ICM4 papers
- University of NgaoundéréCM4 papers
- Bolu Abant İzzet Baysal UniversityTR3 papers
- King Faisal UniversitySA3 papers
- Nantong UniversityCN3 papers
- University of SharjahAE3 papers
- Al-Ahliyya Amman UniversityJO2 papers
- Al-Azhar UniversityEG2 papers
- Assiut UniversityEG2 papers
- Changchun University of Science and TechnologyCN2 papers
6 papers · 1 filter
FU-Mamba: A Frequency-Enhanced Dynamic Scanning Framework for Oralscan Image Segmentation
Xinxin Zhao, Jinpeng Ye, Bo Wei +8
Oralscan image segmentation is essential for computer-aided diagnosis and treatment planning in digital dentistry. However, existing visual state space models (SSMs) often rely on…
Multilinear subspace learning for person re-identification based fusion of high order tensor features
Ammar Chouchane, Mohcene Bessaoudi, Hamza Kheddar +3
Video surveillance image analysis and processing is a challenging field in computer vision, with one of its most difficult tasks being Person Re-Identification (PRe-ID). PRe-ID aim…
Deep learning in computed tomography pulmonary angiography imaging: a dual-pronged approach for pulmonary embolism detection
Fabiha Bushra, Muhammad E. H. Chowdhury, Rusab Sarmun +7
The increasing reliance on Computed Tomography Pulmonary Angiography (CTPA) for Pulmonary Embolism (PE) diagnosis presents challenges and a pressing need for improved diagnostic so…
Detection of Mild Cognitive Impairment Using Facial Features in Video Conversations
Muath Alsuhaibani, Hiroko H. Dodge, Mohammad H. Mahoor
Early detection of Mild Cognitive Impairment (MCI) leads to early interventions to slow the progression from MCI into dementia. Deep Learning (DL) algorithms could help achieve ear…
PASS: Peer-Agreement based Sample Selection for training with Noisy Labels
Arpit Garg, Cuong Nguyen, Rafael Felix +2
The prevalence of noisy-label samples poses a significant challenge in deep learning, inducing overfitting effects. This has, therefore, motivated the emergence of learning with no…
Image Classification for Arabic: Assessing the Accuracy of Direct English to Arabic Translations
Abdulkareem Alsudais
Image classification is an ongoing research challenge. Most of the available research focuses on image classification for the English language, however there is very little researc…