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1
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 -
2
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 -
3
Dual u-net with resnet encoder for segmentation of medical images
Published 2022“…The algorithm Dual U-net with Resnet Encoder obtains a higher DSC of 0.87 and IOU of 0.80 and beats the other algorithms U-net, FCN, and Unet_Resnet in segmentation of gastrointestinal polyp images.…”
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Article -
4
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 -
5
Novel techniques for enhancement and segmentation of acne vulgaris lesions
Published 2013“…Objectives: There are two main objectives: (i) to develop an algorithm for the enhancement of various acne vulgaris lesions; and (ii) to develop a method for the segmentation of enhanced acne vulgaris lesions. …”
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Citation Index Journal -
6
Recent Automatic Segmentation Algorithms of MRI Prostate Regions: A Review
Published 2021“…The prostate gland segmentation is challenging due to its shape variability in each zone from patient to patient and different tumor levels in each zone. …”
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7
Recent Automatic Segmentation Algorithms of MRI Prostate Regions: A Review
Published 2021“…The prostate gland segmentation is challenging due to its shape variability in each zone from patient to patient and different tumor levels in each zone. …”
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Article -
8
Automatic control of flotation process using computer vision
Published 2015“…In addition, several algorithms were implemented to measure the other important image variables such as froth velocity,froth color and bubble collapse rate. …”
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Thesis -
9
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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10
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 -
11
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 -
12
An Optimized Semantic Segmentation Framework for Human Skin Detection
Published 2024“…This work identified that the location and color variability of skin pixels in the training data are crucial to obtaining a good skin segmentation performance. …”
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Article -
13
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“…As manual segmentation for liver treatment planning is both labor intensive and timeconsuming, a more accurate and automatic segmentation is desired. …”
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Thesis -
14
Context Independent Expectation Maximization Algorithm for Segmentation of Brain MR Images
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Conference or Workshop Item -
15
The Effects Of Segmenting And Computational Thinking In Digital Video Courseware On Knowledge Achievement, Self-Efficacy And Motivation Among Students With Different Thinking Style...
Published 2023“…This research used a quasi-experimental design using a 2 x 3 factorial. This study's variables include (i) two treatment modes, "DVC: Learner-paced predefined segment (DVC-LS)" and "DVC: System predefined segment (DVC-SS)"; (ii) knowledge achievement, self-efficacy, and motivation; and (iii) thinking style, which includes legislative, executive, and judicial. …”
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Thesis -
16
Development of images segmentation using image thresholder and batch processing technique on the blood smears
Published 2022“…A new segmentation technique with each pixel in the image has its own threshold is developed in response to the fact that standard threshold-based segmentation algorithms only establish one or many thresholds, making it difficult to extract the complex information in an image. …”
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Article -
17
Iris segmentation and normalization approach
Published 2008“…Iris is located by using a variable parameter binning approach. The algorithm is tested using iris images from CASIA database and MMU database. …”
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18
Simple realization of 5-Segment discontinuous SVPWM based on FPGA
Published 2010“…The Space Vector Pulse Width Modulation (SVPWM) is possibly the best among all the PWM techniques for variable frequency drive applications. Unfortunately, the modulation algorithm is mainly implemented with software based on microcontroller or digital signal processors (DSP). …”
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Article -
19
Fully automated segmentation of the left ventricle in cine cardiac magnetic resonance imaging / Tan Li Kuo
Published 2018“…In conclusion, two algorithms were developed and tested leading to fully automatic segmentation of LV in cardiac cine MRI. …”
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Thesis -
20
Human body radiation wave analysis and classification for gender and body segments recognition / Siti Zura A. Jalil @ Zainuddin
Published 2015“…Then, the classification algorithm of k-nearest neighbor (KNN) is employed to discriminate between genders, and between body segments. …”
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