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92 articles for “Segmentation.”
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A Study of Segmentation Techniques for Diagnosing Melanoma in Dermoscopic Images
Abstract: Skin cancer remains among the deadliest forms of cancer, with an average survival rate ranging from 18% to 20%. Detecting and segmenting melanoma early is a challenging yet crucial undertaking. To effectively segment the lesions, several studies have presented automated and standard techniques. Likewise, traditional methods for segmentation frequently require inputs from humans and cannot be applied in automated systems. The aim of this article is to provide a comparative …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 10, Issue 1, 2024 · pp. 1–10 Read article
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Effect of Segmentation of White matter, grey matter and CSF in the prediction of Neurological disorders
Abstract: The segmentation of white matter, grey matter, and cerebrospinal fluid (CSF) plays a crucial role in predicting and diagnosing neuro disorders. This study investigates the impact of precise segmentation techniques on identifying biomarkers and structural changes associated with various neurological conditions, including Alzheimer's disease, multiple sclerosis, and schizophrenia. By leveraging advanced imaging technologies and machine learning algorithms, we aim to enhance the accuracy of neuro disorder predictions through detailed analysis …
Published in International Journal of Neurological Nursing · Vol. 10, Issue 2, 2024 · pp. 9–14 Read article
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Image Segmentation
Abstract: In computer vision, image segmentation is the process of partitioning a digital image into multiple segments (sets of pixels, also known as super-pixels). The goal of segmentation is to simplify and/or change the representation of an image into something that is more meaningful and easier to analyze.[1][2] Image segmentation is typically used to locate objects and boundaries (lines, curves, etc.) in images. More precisely, image segmentation is the process of …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 3, Issue 2, 2017 · pp. 55–56 Read article
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AI-Driven Hybrid Neural Network Architecture for Medical Image Segmentation: A Novel Approach for Early Disease Detection
Abstract: One of the key factors in detecting early diseases is medical image segmentation. Medical image segmentation can be very complex due to the differences in image quality, noise, and specific anatomical structures of individual patients. A novel approach for a hybrid neural network structure that combines the power of convolutional neural networks, and the transformer-based models is described here for improved accuracy and robustness of medical image segmentation. Unlike traditional …
Published in International Journal of Microwave Engineering and Technology · Vol. 11, Issue 1, 2025 · pp. 1–7 Read article
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Segmentation Refers to the Process of Partitioning a Digital Image into Multiple Regions
Abstract: Abstract Image segmentation is a very important tool in image processing and might function as Associate in Nursing economical face to classy algorithms and thereby alter subsequent process. A typical drawback in segmentation of a monochrome image happens once a picture contains a background of variable grey level like step by step ever-changing shades, regions or categories assume some broad vary of grey scales. This drawback is inherent since intensity …
Published in International Journal of Distributed Computing and Technology · Vol. 1, Issue 1, 2015 · pp. 25–33 Read article
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Effectiveness of Acupressure on Pain Among Mothers Who Underwent Lower Segment Caesarean Section
Abstract: A quasi experimental study was carried out to assess the effectiveness of acupressure on pain among mother who underwent lower segment caesarean section with 60 samples were selected by purposive sampling technique. Among 60 samples 30 were in control group and 30 were in experimental group. The data were analyzed by descriptive and inferential statistics. The study revealed that the pretest mean pain score in experimental and control group were …
Published in International Journal of Obstetrics, Perinatal and Neonatal Nursing · Vol. 3, Issue 1, 2017 · pp. 1–4 Read article
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Abundance and Diversity of Meiofauna as Bioindicator of Water Quality and Health Status of Tombia Segment, New Calabar River, Niger Delta, Nigeria
Abstract: The abundance and diversity of meiofauna as bioindicator of water quality and health status of Tombia segment of the New Calabar River, Niger Delta, Nigeria was studied. Sediment samples from the respective stations were collected monthly in replicates between July and September,2023 using a handheld perplex corer at a depth of 10cm and analysed in the Laboratory following standard method of APHA. The data obtained were subjected to descriptive and …
Published in International Journal of Environmental Chemistry · Vol. 12, Issue 1, 2026 · pp. 36–46 Read article
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Optimization of Compressive Strength of Segmental Interlocking Stones
Abstract: The failure of most segmental interlocking stones used as pavement materials is traceable to lack of knowledge of the mix ratios that would optimize the compressive strength of the end products. In this study, the compressive strength was optimized based on Scheffe’s simplex lattice approach. The reliability of model developed was investigated using F-statistic and was found to be adequate. A computer program written in basic language was used to …
Published in International Journal of Geological and Geotechnical Engineering · Vol. 4, Issue 2, 2018 · pp. 1–7 Read article
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Computer-Assisted Automatic Segmentation/Detection of Multiple Sclerosis Lesions in Brain MR Images: A Review
Abstract: In humans, central nervous system (CNS) may suffer with demyelinating disease, named multiple sclerosis (MS), characterized by a wide scope of neurological deficits. Magnetic resonance imaging (MRI) is an important tool for MS diagnosis which enables the detection of location and size of the affected tissue. Research on this disease is has grabbed wide attention so as to improve the treatment plans by better understanding of causes and the disease …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 3, Issue 1, 2017 · pp. 17–24 Read article
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Semantic Segmentation for Object Detection in Videos using Mask RCNN
Abstract: The segmentation of object instances is an essential step in real-time video detection. Object detection is the problem of detecting the information of all types of items in an image by designating their location with a rectangular box. Using its remarkable feature-learning capabilities, deep learning promotes object detection research. Numerous researchers have utilised various machine learning algorithms for object detection and have focused on enhancing the accuracy of feature extraction. …
Published in International Journal of Digital Communication and Analog Signals · Vol. 8, Issue 2, 2022 · pp. 7–15 Read article
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Ecological Investigation onDiversity of Standing and Seed Bank Vegetation along the bank of Kali River in its Meerut segment
Abstract: Soil seed banks serve as reservoirs of seeds for subsequent regeneration of plants. Soil seed banks were investigated along the Kali river bank (KRB) in Meerut region of Uttar Pradesh. The study aimed at examining species richness and diversity, determining seed densities, assessing the spatial distribution of seeds in the soil and comparing the similarity in species composition between the standing vegetation and soil seed bank. A total of 33 …
Published in International Journal of Plant Biotechnology · Vol. 10, Issue 1, 2024 · pp. 1–12 Read article
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Scanning electron microscopic study of antenna of Alphitobius diaperinus (lesser mealworm beetle)
Abstract: The dorsal surface of Alphitobius diaperinus bears sensilla in number that is basiconica, chaetica, tricoidea and coeloconic sensilla present on the surface of antenna. Antenna is short and serrate form of antennae, because of triangular in shape the free ends of the segment freely on one side which appear as the teeth of saw. Antenna is 11 segmented shiny antennae are short with the terminal segment lighter in colour. Length …
Published in International Journal of Animal Biotechnology and Applications · Vol. 6, Issue 2, 2020 · pp. 24–28 Read article
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An Optimum Stringer for Straight and Curved Stiffened Panels Using X-FEM Techniques
Abstract: In this study, crack growth, modeling and simulation of various stiffened stringers, unstiffened straight and curved cracked panels are presented using commercially available finite element software package. Computation of stresses and convergence of stress intensity factor for single-edge notch specimens computed using finite element method (FEM) and extended finite element method (X-FEM) and compared with analytical solution. X-FEM techniques like cohesive segment method and linear elastic fracture mechanics, using virtual …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 4, Issue 2, 2018 · pp. 1–11 Read article
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Investigation and Classification of Cardiac MRI Images using Texture Analysis
Abstract: In order to quantify the myocardial viability after infarction, recent researches have developed new cardiac MRI protocol using particle contrast agents which highlight the different areas after infarction: i.e. the healthy area, the necrosed area and the two ischemic areas. Actually the researches are carried out on rodents micro cardiac MRI for which the obtained images are very noisy and present a very low contrast. In this paper, we analyse …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 7, Issue 2, 2021 · pp. 37–41 Read article
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A Review: Performance analysis of overlapping shear keys in box girder bridges using finite element based software
Abstract: Abstract - Box girder bridges are widely used for long-span constructions due to their high strength-to-weight ratio and structural efficiency. A fundamental component in these bridges is the shear key which allows for effective transfer of loads between bridge segments and upholds the overall structural performance through the different load cases. Overlapping shear keys are becoming increasingly popular because they greatly enhance inter-segment connections, which decrease relative displacements. This paper …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 12, Issue 1, 2026 · pp. 38–47 Read article
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Impact of the Jigsaw Teaching Strategy on Classroom Performance among Nursing Students at a Selected College
Abstract: Introduction: Collaborative learning is an educational methodology where individuals engage collectively in pursuit of knowledge or skill acquisition. The jigsaw teaching method is a form of collaborative learning, initially introduced by Elliot Aronson in 1971 at both the University of Texas and the University of California. This method emphasizes team-based learning, wherein students are organized into groups or teams, each assigned a specific segment of the material to master. Within …
Published in International journal of Nursing Science Practice and Research · Vol. 10, Issue 1, 2024 Read article
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A Simple and Fast Skull Stripping Technique for Brain MR Images
Abstract: Skull stripping is an important aspect of study in the field of Medical image processing. It eliminates the present non-cerebral tissues from the MR image to improve the speed and accuracy of the algorithm. An unsupervised double segmentation based method has been proposed for faster processing. Threshold values required for double segmentation are obtained using the Otsu algorithm. This method avoids the conventional Morphological Opening and Morphological Closing operations to …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 6, Issue 1, 2020 · pp. 1–4 Read article
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Using Image Feature Selection through Deep Salient Region Detection Using Canny Edge Detection Framework
Abstract: Salient object identification has received a lot of attention recently in computer vision because it offers quick solutions to several challenging procedures. It first identifies the scene's most prominent and attention-grabbing object, after which it segments the object's entire extent. The perception and processing of visual input is linked to visual saliency. This proposed work focuses on several convectional saliency detection methods that are useful in a variety of applications …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 9, Issue 1, 2023 · pp. 8–21 Read article
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Review of Machine Learning Based Methodologies for Detection of Heart Diseases
Abstract: Nowadays, the number of patients having heart disease has significantly increased. This is due to our lifestyles, globalization, industrialization, and a variety of other things. This paper presents the review of various machine learning-based methodologies to diagnose heart disease by analyzing the heart sounds. In a later section of the paper, we discussed various machine learning methodologies and their insight to detect the abnormality in the heart through analysis of …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 8, Issue 2, 2022 · pp. 1–7 Read article
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Classification of Fetal ECG Arrhythmia by Using Advance Hybrid Deep Learning Technique CNN-LSTM
Abstract: Fetal heart abnormalities, particularly fetal heart arrhythmias, are becoming an increasing concern in maternal healthcare. Early and accurate detection remains challenging due to limitations in conventional diagnostic techniques and inadequate signal processing methods. Existing studies have applied various machine learning and deep learning approaches; however, capturing the complex characteristics of fetal electrocardiogram (ECG) signals remains a significant gap. This study proposes an advanced deep learning-based approach for detecting fetal heart …
Published in International Journal of Cardiovascular Nursing · Vol. 12, Issue 1, 2026 · pp. 27–36 Read article