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Breast Density Estimation in Mammograms Using Unsupervised Image Segmentation
Published 2023“…A Master of Science thesis in Computer Engineering by Khaldoon Alhusari entitled, “Breast Density Estimation in Mammograms Using Unsupervised Image Segmentation”, submitted in November 2023. …”
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HAND GESTURE SEGMENTATION AND SIGN LANGUAGE RECOGNITION USING DEEP LEARNING
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masterThesis -
3
Reliable Tuberculosis Detection Using Chest X-Ray With Deep Learning, Segmentation and Visualization
Published 2020“…Three different experiments were carried out in this work: segmentation of X-ray images using two different U-net models, classification using X-ray images and that using segmented lung images. …”
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Deep learning-driven segmentation of ischemic stroke lesions using multi-channel MRI
Published 2025“…This study introduces a novel deep learning-based method for segmenting ischemic stroke lesions using multi-channel MRI modalities, including Diffusion Weighted Imaging (DWI), Apparent Diffusion Coefficient (ADC), and enhanced Diffusion Weighted Imaging (eDWI). …”
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Segmenting Handwritten Arabic Text
Published 2002“…Another conventional algorithm uses the verified segmentation points and segments the connected blocks of characters.…”
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Segmenting Handwritten Arabic Text
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7
Dual-stage segmentation and classification framework for skin lesion analysis using deep neural network
Published 2025“…</p><h3>Methods</h3><p dir="ltr">We propose a two-phase framework: (i) Precise instance segmentation using U-Net with a Visual Geometry Group (VGG16 encoder) to isolate skin lesions and (ii) classification using EfficientFormer and SwiftFormer networks to evaluate performance on both balanced and imbalanced datasets. …”
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Amharic Speech Search Using Text Word Query Based on Automatic Sentence-like Segmentation
Published 2022“…We have used manual segmentation as a baseline for our investigation and found out that sentence-like automatic segmentation resulted in a word error rate (WER) closer to the WER achieved on the manually segmented test speech. …”
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Total and segmental liver volume variations
Published 2015“…The relative contributions of the hepatic segments to total liver volume (TLV) are not well established. …”
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DWSD: Dense waste segmentation dataset
Published 2025“…While developed countries have established and refined effective waste segmentation and recycling systems, our country still uses manual segregation to identify and process recyclable items. …”
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DWSD: Dense Waste Segmentation Dataset
Published 2024“…While developed countries have established and refined effective waste segmentation and recycling systems, our country still uses manual segregation to identify and process recyclable items. …”
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Hybrid Neural Networks for Precise Hydronephrosis Classification Using Deep Learning
Published 2025“…Several architectures were tested under identical conditions to ensure a fair comparison. Segmentation performance was assessed using standard metrics, including the Dice coefficient, precision, and recall. …”
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How can algorithms help in segmenting users and customers? A systematic review and research agenda for algorithmic customer segmentation
Published 2023“…<p dir="ltr">What algorithm to choose for customer segmentation? Should you use one algorithm or many? How many customer segments should you create? …”
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Unsupervised histogram based color image segmentation
Published 2003“…In this paper, a new technique is proposed for the segmentation of color images. The technique is based on the use of the sigma filter and multithresholding of 2-band histograms. …”
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Segmenting the Travel Market Based on the Tourists' Need for Novelty
Published 2014“…Using cluster, chi-square, and analysis of variance, the results indicated that travelers can be grouped into three segments based on novelty-seeking behavior. …”
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An Efficient Iris Segmentation Technique based on a Multiscale Approach
Published 2006“…In this paper, we propose a new iris segmentation technique using a multiscale approach for edge detection, which is a fundamental issue in image analysis. …”
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A multi-pretraining U-Net architecture for semantic segmentation
Published 2025“…Particularly, we present a novel non-sequential multi-pretraining U-Net architecture and demonstrate that employing a number of persistent parallel models can boost the effectiveness of the segmentation procedures. The proposed approach makes advantage of data augmentation to generate newly synthesized images, which are subsequently processed using a watershed mask. …”
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Numerical Modeling of Sequential Segmentation for Enhancement of Mixing Inside Microchannels
Published 2019Get full text
doctoralThesis -
20
A Neuro-Heuristic Approach for Segmenting Handwritten Arabic Text
Published 2001“…The algorithm then generates pre-segmentation points for these blocks. A neural network is subsequently used to verify the accuracy of these segmentation points. …”
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