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Optimization of blood vessel detection in retina images using multithreading and native code for portable devices
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Conference or Workshop Item -
2
Performance evaluation of real-time multiprocessor scheduling algorithms
Published 2016“…These results suggests that optimal algorithms may turn to be non-optimal when practically implemented, unlike USG which reveals far less scheduling overhead and hence could be practically implemented in real-world applications. …”
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3
Route Optimization System
Published 2005“…After much research into the many algorithms available, and considering some, including Genetic Algorithm (GA), the author selected Dijkstra's Algorithm (DA). …”
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Final Year Project -
4
Linear regression convolutional neural network for fully automated coronary lumen segmentation in intravascular optical coherence tomography / Yong Yan Yin
Published 2018“…This automated segmentation algorithm has been benchmarked against manual segmentation by human experts. …”
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Thesis -
5
Development Of Automatic Liver Segmentation Method For Three- Dimensional Computed Tomography Dataset
Published 2018“…The time required for segmentation is 366s. The segmentation results from the algorithm developed are competitive. …”
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Monograph -
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Dual u-net with resnet encoder for segmentation of medical images
Published 2022“…For segmentation, in this work, we have used a dataset of images of the gastrointestinal polyp. …”
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Article -
8
Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection
Published 2022“…Enhance hybrid genetic algorithm and particle Swarm optimization are developed to select the optimal device in either fog or cloud. …”
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Article -
9
Mathematical snalysis of blood vessels segmentation based on three retinal images datasets
Published 2014“…The results show that measuring the automatic segmentation algorithm performance is based mainly on how the retinal images are acquired as well as the image processing technique used for segmentation. …”
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Proceeding Paper -
10
Novel techniques for enhancement and segmentation of acne vulgaris lesions
Published 2013“…The proposed algorithm uses local rank transform to generate the HDR images from a single acne image followed by the log transformation. …”
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Citation Index Journal -
11
Automatic control of flotation process using computer vision
Published 2015“…Bubble size distribution which is regarded as the most important characteristics of froth structure, is being addressed in this thesis by using a segmentation algorithm. A marker based watershed algorithm had been adopted and improved so as to prevent the over segmentation of big bubbles and able to adapt itself with different scenario of froth images. …”
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Thesis -
12
Edge detection and contour segmentation for fruit classification in natural environment / Khairul Adilah Ahmad
Published 2018“…Therefore, this research has developed an improved edge detection and contour segmentation algorithm that is able to correctly segment various objects from both indoor and outdoor images. …”
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Thesis -
13
Ant colony optimization algorithm for load balancing in grid computing
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Monograph -
14
Blood vessels segmentation based on three retinal images datasets
Published 2016“…The results show that measuring the automatic segmentation algorithm performance is based mainly on how the retinal images are acquired as well as the image processing technique used for segmentation. …”
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Article -
15
Recent Automatic Segmentation Algorithms of MRI Prostate Regions: A Review
Published 2021“…Particular attention is given to different loss functions used for training segmentation based on deep learning techniques. …”
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Recent Automatic Segmentation Algorithms of MRI Prostate Regions: A Review
Published 2021“…Particular attention is given to different loss functions used for training segmentation based on deep learning techniques. …”
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17
Liver segmentation on CT images using random walkers and fuzzy c-means for treatment planning and monitoring of tumors in liver cancer patients
Published 2017“…For liver vasculature segmentation, a mean overlap error of 35.9% and mean absolute relative volume difference of 16.7% was achieved by using the proposed segmentation method, making it amongst the most accurate liver vasculature segmentation methods. …”
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Thesis -
18
Development Of Semi-Automatic Liver Segmentation Method For Three-Dimensional Computed Tomography Dataset
Published 2017“…In post-processing, the contour of liver is smooth by binary Gaussian filter. The liver segmentation program with proposed algorithm is evaluated with CT datasets obtained from SLIVER07 to prove its effectiveness in liver segmentation. …”
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Monograph -
19
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An Optimized Semantic Segmentation Framework for Human Skin Detection
Published 2024“…The study incorporating optimization strategy in semantic segmentation is underexplored in dermatology. Existing approaches used complex and various heuristic designs of image processing algorithms and deep models customized for skin detection problems. …”
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