Abder-Rahman Ali

According to our database1, Abder-Rahman Ali authored at least 14 papers between 2014 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2022
A fuzzy-enhanced deep learning approach for early detection of Covid-19 pneumonia from portable chest X-ray images.
Neurocomputing, 2022

2020
A machine learning approach to automatic detection of irregularity in skin lesion border using dermoscopic images.
PeerJ Comput. Sci., 2020

Automating the ABCD Rule for Melanoma Detection: A Survey.
IEEE Access, 2020

2019
Skin cancer detection based on deep learning and entropy to detect outlier samples.
CoRR, 2019

A Deep Learning Based Approach to Skin Lesion Border Extraction With a Novel Edge Detector in Dermoscopy Images.
Proceedings of the International Joint Conference on Neural Networks, 2019

Supervised Versus Unsupervised Deep Learning Based Methods for Skin Lesion Segmentation in Dermoscopy Images.
Proceedings of the Advances in Artificial Intelligence, 2019

2016
Particle Swarm Optimization Based Fast Fuzzy C-Means Clustering for Liver CT Segmentation.
Proceedings of the Applications of Intelligent Optimization in Biology and Medicine, 2016

Fuzzy C-Means based on Minkowski distance for liver CT image segmentation.
Intell. Decis. Technol., 2016

2015
A Novel Evolutionary Swarm Fuzzy Clustering Approach for Hyperspectral Imagery.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015

Smoothed shock filtered defuzzification with Zernike moments for liver tumor extraction in MR images.
Proceedings of the 2015 International Conference on Image Processing Theory, 2015

2014
Fuzzy C-Means Based Liver CT Image Segmentation with Optimum Number of Clusters.
Proceedings of the Fifth International Conference on Innovations in Bio-Inspired Computing and Applications, 2014

Liver CT Image Segmentation with an Optimum Threshold Using Measure of Fuzziness.
Proceedings of the Fifth International Conference on Innovations in Bio-Inspired Computing and Applications, 2014

Melanoma detection using fuzzy C-means clustering coupled with mathematical morphology.
Proceedings of the 14th International Conference on Hybrid Intelligent Systems, 2014

PSilhOuette: Towards an Optimal Number of Clusters Using a Nested Particle Swarm Approach for Liver CT Image Segmentation.
Proceedings of the Advanced Machine Learning Technologies and Applications, 2014


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