Please, cite the following paper if you utilize the resources in this project:
- Mahmoud Al-Ayyoub, Ansam Abu-Dalo, Yaser Jararweh, Moath Jarrah and Mohammad Al Sa'd. A GPU-Based Implementations of the Fuzzy C-Means Algorithms for Medical Image Segmentation. Journal of Supercomputing 71(8): 3149-3162, August 2015. https://doi.org/10.1007/s11227-015-1431-y https://www.researchgate.net/publication/275026777
Also, you might find the following papers of ours on the use of GPU to accelerate image processing tasks relevant:
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Shadi AlZu'bi, Mohammed Shehab, Mahmoud Al-Ayyoub, Yaser Jararweh and Brij Gupta. Parallel Implementation for 3D Medical Volume Fuzzy Segmentation. Pattern Recognition Letters. To appear. https://doi.org/10.1016/j.patrec.2018.07.026 https://www.researchgate.net/publication/326641789
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Mahmoud Al-Ayyoub, Shadi AlZu'bi, Yaser Jararweh, Mohammed Shehab, Brij Gupta. Accelerating 3D Medical Volume Segmentation Using GPUs. Multimedia Tools and Applications (MTAP) 77 (4): 4939-4958, February 2018. https://doi.org/10.1007/s11042-016-4218-0 https://www.researchgate.net/publication/311675332
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Mohammed Shehab, Mahmoud Al-Ayyoub, Yaser Jararweh and Moath Jarrah. Accelerating compute-intensive image segmentation algorithms using GPUs. Journal of Supercomputing 73(5): 1929-1951, May 2017. https://doi.org/10.1007/s11227-016-1897-2 https://www.researchgate.net/publication/309371302
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Mohammad Alsmirat, Yaser Jararweh, Mahmoud Al-Ayyoub, Mohammed Shehab and Brij Gupta. Accelerating compute intensive medical imaging segmentation algorithms using hybrid CPU-GPU implementations. Multimedia Tools and Applications (MTAP) 76(3): 3537-3555, February 2017. https://doi.org/10.1007/s11042-016-3884-2 https://www.researchgate.net/publication/307578000
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Shadi AlZu'bi, Mahmoud Al-Ayyoub, Yaser Jararweh and Mohammed Shehab. Enhanced 3D Segmentation Techniques for Reconstructed 3D Medical Volumes: Robust and Accurate Intelligent System. In The 4th International Symposium on Emerging Information, Communication and Networks (EICN), 2017. https://doi.org/10.1016/j.procs.2017.08.318 https://www.researchgate.net/publication/319934657
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Shadi AlZu'bi, Mohammed Shehab, Mahmoud Al-Ayyoub, Elhadj Benkhelifa and Yaser Jararweh. Parallel Implementation of FCM-Based Volume Segmentation of 3D Images. In the Third International Workshop on Internet of Things, Systems, Management and Security (IOTSMS) in conjunction with the 13th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA), 2016. https://doi.org/10.1109/AICCSA.2016.7945811 https://www.researchgate.net/publication/311402650
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Mahmoud Al-Ayyoub, Shadi AlZu'bi, Yaser Jararweh and Mohammad Alsmirat. A GPU-Based Breast Cancer Detection System Using Fuzzy C-Means Clustering Algorithm. In the 5th International Conference on Multimedia Computing and Systems (ICMCS), 2016. https://doi.org/10.1109/ICMCS.2016.7905595 https://www.researchgate.net/publication/308098290
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Mohammed Shehab, Mahmoud Al-Ayyoub and Yaser Jararweh. Improving FCM and T2FCM Algorithms Performance using GPUs for Medical Images Segmentation. In the 6th International Conference on Information and Communication Systems (ICICS), 2015. https://doi.org/10.1109/IACS.2015.7103215 https://www.researchgate.net/publication/275024929
Other relevant papers of ours on medical image processing:
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Mahmoud Al-Ayyoub, Nusaiba Mnayyis, Mohammad Alsmirat, Khaled Alawneh, Yaser Jararweh and Brij Gupta. SIFT Based ROI Extraction for Lumber Disk Herniation CAD System from MRI Axial Scans. Journal of Ambient Intelligence and Humanized Computing (JAIHC). To appear. https://doi.org/10.1007/s12652-018-0750-2 https://www.researchgate.net/publication/323788516
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Mohammad Alsmirat, Khaled Alawneh, Mahmoud Al-Ayyoub and Mays Al-Dwiekat. Building a Simulated Educational Environment for the Diagnosis of Lumbar Disk Herniation Using Axial View MRI Scans. International Journal of Advanced Intelligence Paradigms (IJAIP). To appear. https://www.researchgate.net/publication/323178741
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Mahmoud Al-Ayyoub, Ala'a Oqaily, Mohammad Jarrah and Huda Karajeh. Automatically Determining the Location and Length of Coronary Artery Thrombosis Using Coronary Angiography. International Journal of Computer Science and Information Security (IJCSIS) 14(3): 10-19, March 2016. https://www.researchgate.net/publication/309391627
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Mahmoud Al-Ayyoub, Duaa Alawad, Khaldun Al-Darabsah and Inad Aljarrah. Automatic Detection and Classification of Brain Hemorrhages. WSEAS Transactions on Computers 12(10): 395-405, October 2013. https://www.researchgate.net/publication/279963892
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Mahmoud Al-Ayyoub, Ismail Hmeidi and Haya Rababah. Detecting Hand Bone Fractures in X-Ray Images. Journal of Multimedia Processing and Technologies (JMPT) 4(3): 155-168, September 2013. https://www.researchgate.net/publication/279963895
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Mahmoud Al-Ayyoub and Duha Al-Zghool. Determining the Type of Long Bone Fractures in X-Ray Images. WSEAS Transactions on Information Science and Applications 10(8): 261-270, August 2013. https://www.researchgate.net/publication/280036354
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Maad Ebrahim, Mohammad Alsmirat and Mahmoud Al-Ayyoub. Performance Study of Augmentation Techniques for HEp2 CNN Classification. In the 9th International Conference on Information and Communication Systems (ICICS), 2018. https://doi.org/10.1109/IACS.2018.8355460 https://www.researchgate.net/publication/324999549
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Khaled Alawneh, Mays Al-Dwiekat, Mohammad Alsmirat and Mahmoud Al-Ayyoub. Computer-Aided Diagnosis of Lumbar Disc Herniation. In the 6th International Conference on Information and Communication Systems (ICICS), 2015. https://doi.org/10.1109/IACS.2015.7103190 https://www.researchgate.net/publication/280036522
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Ala’a Oqaily, Mohammad Jarrah, Huda Karajeh, Mahmoud Al-Ayyoub and Ismail Hmeidi. Localization of Coronary Artery Thrombosis Using Coronary Angiography. In the Third International Conference on Informatics Engineering and Information Science (ICIEIS), 2014. https://www.researchgate.net/publication/265853550
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Khaldun Al-Darabsah and Mahmoud Al-Ayyoub. Breast Cancer Diagnosis Using Machine Learning Based on Statistical and Texture Features Extraction. In the 4th International Conference on Information and Communication Systems (ICICS), 2013. https://www.researchgate.net/publication/257665849
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Mahmoud Al-Ayyoub, Ghaith Husari, Omar Darwish and Ahmad Alabed-alaziz. Machine Learning Approach for Brain Tumor Detection. In the 3rd International Conference on Information and Communication Systems (ICICS), 2012. https://doi.org/10.1145/2222444.2222467 https://www.researchgate.net/publication/262163807
More relevant papers of ours on the use of GPU to accelerate various algorithms:
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Luay Alawneh, Emad Rawashdeh, Mahmoud Al-Ayyoub and Yaser Jararweh. GPU Parallelization of Sequence Segmentation Using Information Theoretic Models. Simulation Modelling Practice and Theory. To appear. https://doi.org/10.1016/j.simpat.2018.04.007 https://www.researchgate.net/publication/324944639
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Mahmoud Al-Ayyoub, Mohammed Alandoli, Yaser Jararweh, Mohammad Al-Smadi and Brij Gupta. Improving Fuzzy C-Mean-Based Community Detection in Social Networks Using Dynamic Parallelism. Computers and Electrical Engineering. To appear. https://doi.org/10.1016/j.compeleceng.2018.01.003 https://www.researchgate.net/publication/322542279
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Yaser Jararweh, Mahmoud Al-Ayyoub, Maged Fakirah, Luay Alawneh and Brij Gupta. Improving the Performance of the Needleman-Wunsch Algorithm Using Parallelization and Vectorization Techniques. Multimedia Tools and Applications (MTAP). To appear. https://doi.org/10.1007/s11042-017-5092-0 https://www.researchgate.net/publication/319204114
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Mohammed Shehab, Abdullah Ghadawi, Luay Alawneh, Mahmoud Al-Ayyoub and Yaser Jararweh. A Hybrid CPU-GPU Implementation to Accelerate Multiple Pairwise Protein Sequence Alignment. In the 8th International Conference on Information and Communication Systems (ICICS), 2017. https://doi.org/10.1109/IACS.2017.7921938 https://www.researchgate.net/publication/315830821
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Khaled Balhaf, Mohammad Alsmirat, Mahmoud Al-Ayyoub, Yaser Jararweh and Mohammed Shehab. Accelerating Levenshtein and Damerau Edit Distance Algorithms Using GPU with Unified Memory. In the 8th International Conference on Information and Communication Systems (ICICS), 2017. https://doi.org/10.1109/IACS.2017.7921937 https://www.researchgate.net/publication/316754571
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Mohammed Alandoli, Mahmoud Al-Ayyoub, Mohammad Al-Smadi, Yaser Jararweh and Elhadj Benkhelifa. Using Dynamic Parallelism to Speed-Up Clustering-Based Community Detection in Social Networks. In the 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW), 2016. https://doi.org/10.1109/W-FiCloud.2016.57 https://www.researchgate.net/publication/304396186
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Mohammed Alandoli, Mohammed Shehab, Mahmoud Al-Ayyoub, Yaser Jararweh and Mohammad Al-Smadi. Using GPUs to Speed-Up FCM-Based Community Detection in Social Networks. In the International Conference on Computer Science and Information Technology (CSIT), 2016. https://doi.org/10.1109/CSIT.2016.7549467 https://www.researchgate.net/publication/303921160
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Khaled Balhaf, Mohammed Shehab, Walaa Al-Sarayrah, Mahmoud Al-Ayyoub, Mohammed Al-Saleh and Yaser Jararweh. Using GPUs to Speed-Up Levenshtein Edit Distance Computation. In the 7th International Conference on Information and Communication Systems (ICICS), 2016. https://doi.org/10.1109/IACS.2016.7476090 https://www.researchgate.net/publication/300042590
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Maged Fakirah, Mohammed Shehab, Yaser Jararweh and Mahmoud Al-Ayyoub. Accelerating Needleman-Wunsch Global Alignment Algorithm with GPUs. In the 12th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA), 2015. https://doi.org/10.1109/AICCSA.2015.7507113 https://www.researchgate.net/publication/292977570
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Mahmoud Al-Ayyoub, Qussai Yaseen, Moahmmed Shehab, Yaser Jararweh and Firas Albalas. Accelerating Clustering Algorithms Using GPUs. In IEEE High Performance Extreme Computing Conference (HPEC), 2016. https://www.researchgate.net/publication/306092336
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Moahmmed Shehab, Qussai Yaseen, Mahmoud Al-Ayyoub, Firas Albalas, Yaser Jararweh. Accelerating FCM-Based Text Classification Algorithm Using GPUs. In IEEE High Performance Extreme Computing Conference (HPEC), 2016. https://www.researchgate.net/publication/306092189