Ahmed Alksas
Orcid: 0000-0001-9409-931X
According to our database1,
Ahmed Alksas
authored at least 13 papers
between 2020 and 2023.
Collaborative distances:
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Bibliography
2023
A novel higher order appearance texture analysis to diagnose lung cancer based on a modified local ternary pattern.
Comput. Methods Programs Biomed., October, 2023
Integrated Deep Learning and Stochastic Models for Accurate Segmentation of Lung Nodules From Computed Tomography Images: A Novel Framework.
IEEE Access, 2023
A Novel Technique of Pulmonary Nodules Auto Segmentation Using Modified Convolutional Neural Networks.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
A Novel Textural and Morphological-Based CAD System for Early and Accurate Diagnosis of Vertebral Tumors.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Accurate Segmentation for Pathological Lung Based on Integration of 3D Appearance and Surface Models.
Proceedings of the IEEE International Conference on Image Processing, 2023
Proceedings of the IEEE International Conference on Image Processing, 2023
Automated Diagnosis of Breast Cancer Using Deep Learning-Based Whole Slide Image Analysis of Molecular Biomarkers.
Proceedings of the IEEE International Conference on Image Processing, 2023
2022
Sensors, 2022
Proceedings of the 26th International Conference on Pattern Recognition, 2022
2021
A Comprehensive Computer-Assisted Diagnosis System for Early Assessment of Renal Cancer Tumors.
Sensors, 2021
A New Computer-Aided Diagnostic (Cad) System For Precise Identification Of Renal Tumors.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
2020
A Novel Computer-Aided Diagnostic System for Early Assessment of Hepatocellular Carcinoma.
Proceedings of the 25th International Conference on Pattern Recognition, 2020