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444 articles for “segmentations”
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Fluid-Structure Interaction Analysis of a Rubber Bellow Segment made of Hyper Elastic Material
Abstract: Fluid-structure interaction (FSI) is the interaction of a moveable and/or deformable structure that is immersed in a fluid and/or contains a fluid. Motion of the structure causes a change in the fluid’s stresses that act on the structure’s wetted surface, which in turn causes a change in the structure’s motion. The present research analyses the deformation produced in a hyper elastic rubber bellow segment due to the pressure generated by …
Published in Recent Trends in Fluid Mechanics · Vol. 3, Issue 2, 2016 · pp. 21–30 Read article
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Functional Outcomes in a Client with Hemiglossectomy and Segmental Mandibulectomy: A Case Report
Abstract: Glossectomy and mandibulectomy are one of the most common surgical procedures carried out to remove oral tumors. To date, only a few studies have been published regarding the functional outcomes in an individual who have undergone both glossectomy and mandibulectomy. It is important to document detailed changes in speech subsystems, swallowing, and QoL. As a result, the current study focuses on the nature of speech impairment, swallowing difficulties, and quality …
Published in Research and Reviews : Journal of Surgery Read article
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Survey on Retinal OCT Image Preprocessing, Segmentation, and Deep Learning Based Classification
Abstract: Optical coherence tomography (OCT) is a non-invasive technique that generates high-resolution, detailed cross-sectional images of biological tissues. By utilizing low-coherence interferometry, OCT enables visualization of tissue microstructure with micron-scale resolution, making it useful in various medical fields such as ophthalmology, cardiology, and dermatology. In ophthalmology, OCT is extensively used for diagnosing and monitoring retinal diseases like macular degeneration and diabetic retinopathy, allowing doctors to assess changes in tissue morphology over …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 11, Issue 3, 2024 · pp. 1–9 Read article
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Image Processing and Deep CNN-based Automatic Liver Cancer Detection
Abstract: Liver cancer ranks among the leading causes of mortality for people worldwide. In the current situation, manually identifying the cancer tissue is a challenging and timeconsuming task. Treatment planning, response monitoring, tumor load assessment, and prediction are all made possible by the segmentation of liver lesions in CT scans. To address the current problem of liver cancer, the Hybridized Fully Convolutional Neural Network (HFCNN), which has been theoretically modeled, has …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 3, Issue 1, 2025 · pp. 39–41 Read article
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Design of a 10-bit Segmented Current-Steering CMOS D/A Converter for High Speed Communication System
Abstract: In the present work, design of a 10-bit digital-to-analog (D/A) converter using current segmentation architecture in 0.35 µm double-poly, four-metal, CMOS process has been attempted. The measured differential nonlinearity (DNL) and integral nonlinearity (INL) are 0.8 and 2.5 least significant bits (LSBs) respectively. For sampling frequency of 12-MSample/s, the spurious free dynamic range (SFDR) is better than 56 dB for signal up to Nyquist rate. The worst case power consumption …
Published in Journal of VLSI Design Tools and Technology · Vol. 2, Issue 1-2-3, 2012 · pp. 38–43 Read article
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Cardiovascular Image Segmentation in Computed Tomography Angiography ImagesUsing Deep Learning Approaches
Abstract: In present time, the cardiovascular disease is one of the common causes of mortality in human. In field of medical science, Heart angiography is one of the processes to testing of heart disease. Heart angiography identifies the abnormality in heart vessels. There are mainly two approaches to identify the heart disease. Former approach is the invasive and latter one is the non-invasive approaches. Invasive process is a painful diagnostic procedure …
Published in Recent Trends in Electronics Communication Systems · Vol. 10, Issue 1, 2023 · pp. 20–27 Read article
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A Comparison Study of Different Classification Algorithm on Brain Tumor Segmentation
Abstract: A brain tumor is a tissue mass caused by aberrant cell proliferation in the brain. It is a collection of tissues that causes hormonal alterations and eventually death. In order to save human lives, brain tumors prognosis and prevention is a difficult task. The use of modern medical image processing approaches has made the identification of brain tumors more flexible in recent years. Due to the absence of ionizing radiations, …
Published in Trends in Opto-electro & Optical Communication · Vol. 11, Issue 3, 2021 · pp. 1–7 Read article
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Functional Outcomes in a Client with Hemiglossectomy and Segmental Mandibulectomy: A Case Report
Abstract: Glossectomy and mandibulectomy are one of the most common surgical procedures carried out to remove oral tumors. To date, only a few studies have been published regarding the functional outcomes in an individual who have undergone both glossectomy and mandibulectomy. It is important to document detailed changes in speech subsystems, swallowing, and QoL. As a result, the current study focuses on the nature of speech impairment, swallowing difficulties, and quality …
Published in Research and Reviews : Journal of Surgery · Vol. 11, Issue 2, 2022 · pp. 1–6 Read article
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Binary Shape Segmentation and Classification using Coordination Number (CN)*
Abstract: We proposed a novel, micro-structures, shape-preserving local descriptor for contour-segmentation- based binary object classification and recognition, named local coordination number count (LCNC). In this method, we formulate the problem by estimating the 8-neighbourof each binary object pixel. In the matching stage, we used Euclidean distance between eigenvalues corresponding to correlation coefficient and the dynamic programming to find out the optimal correspondence between boundary smoothness of two shapes. Experimental results obtained …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 8, Issue 1, 2021 · pp. 22–30 Read article
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Biomedical Image Processing: Retinal Blood Vessel Segmentation using Graph Cut Technique
Abstract: Retinal image, which is used in determining different diseases in the eye of a human being, is an important feature in the field of ophthalmology. Similarly, optic disc detection is also an important feature as it locates diseases and defects. In Image processing of fundus, image vessel extraction is the key feature used in doing so. Here, we are presenting the Graph Cut method which helps in extracting blood vessels …
Published in Current Trends in Signal Processing · Vol. 5, Issue 1, 2015 · pp. 17–20 Read article
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Texture Based Segmentation of Remotely Sensed Images
Abstract: Texture based segmentation approach extracts homogeneous regions that have similar texture properties. The texture patterns make use of the gray scale relationship between the center pixel and its surrounding neighbors. In this paper, a novel method is proposed that encodes the spatial relationship between adjacent pairs of neighbors on either side of the center pixel including itself along the given directions in an image. The novelty of the proposed method …
Published in Journal of Remote Sensing & GIS · Vol. 11, Issue 2, 2020 · pp. 5–13 Read article
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Zooplankton Assemblages and Limnological Properties of the Choba Segment, Upper Reaches of New Calabar River, Port Harcourt, Nigeria
Abstract: The zoological assemblage and the limnological characteristics of the Choba segment of the upper reaches of New Calabar river, Port Harcourt was studied between March and May, 2021. Three stations were sampled for water and zooplankton using a 45 m plankton net and plastic bottles, respectively, in accordance with the APHA's standard procedure. The results showed that a total of 696 zooplankton individuals consisting of 22 species from four taxonomic …
Published in Research & Reviews : Journal of Ecology · Vol. 12, Issue 1, 2023 · pp. 1–11 Read article
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Automated Vessel Segmentation of Retinal Vessels using Hybrid Region Information
Abstract: AbstractRecent researches state that the categorization of retinal vessels into artery/vein (A/V) is a critical phase for automating the detection of vascular adjustments and for the calculation of function symptoms related to numerous systemic illnesses which includes diabetes, high blood pressure, and different cardiovascular situations. This paper affords an automatic method for A/V class, primarily based on the evaluation of a graph extracted from the retinal vasculature. The proposed method …
Published in Research & Reviews : Journal of Statistics · Vol. 7, Issue 3, 2018 · pp. 28–36 Read article
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Five Point Circle for the Triangular Form of Double Reciprocal (Lineweaver-Burk) Plot in Enzyme Biochemistry
Abstract: The nine circle in geometry desrve significance of correlation with circumscribed circle, inscribed circle and the Euler line for a triangle. The nine significant concyclic points on the circle recognized by the triangle include: the midpoint of each side of the triangle; the foot point of each altitude and the midpoint of the line segment from each vertex of the triangle to the orthocenter (where the three altitudes meet; these …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 11, Issue 1, 2020 · pp. 5–15 Read article
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Software Development Using Component Based Testing
Abstract: Segment Testing is utilized in Software advancement. Right now, part will be tried. Principle Reason for utilizing Component testing is reuse. In Component Testing less assets utilized for growing new programming. Various sorts of Component gathered and incorporated for programming improvement. It is decreased advancement time and improved programming quality and make moves toward interactional. Testing is performed not exclusively to submit the basic programming mistake free in any case …
Published in Journal of Microcontroller Engineering and Applications · Vol. 8, Issue 3, 2021 · pp. 22–26 Read article
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Detection and Diagnosis of Colorectal Cancer Using Image Processing
Abstract: Colorectal Cancer gets developed either in colon or in the rectum inside the large intestine, due to the abnormal growth of the cells. For detection and screening of colon cancer, Computed Tomography (CT) Colonography is a valid technique in which digital images of rectum polyps have been investigated. An improved gradient vector flow (IGVF) and various segmentation techniques of colorectal cancer detection are discussed in this paper. The segmented candidates …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 5, Issue 1, 2017 · pp. 11–14 Read article
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Automatic Detection of Air Holes Inside The Esophagus in CT Images
Abstract: Automatic esophagus segmentation is a challenging problem. The wall of the esophagus consists of muscle tissue, which has a low contrast to vessels, other muscles and lymph nodes. Shape and appearance can vary a lot. It appears solid if it is empty, but it can also be filled with air, remains of orally given contrast agent, or both. Even for a human, it is often impossible to accurately delineate the …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 1, Issue 1, 2011 Read article
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Comparative Analysis of MCNN and RCNN for Speech Emotion Recognition Using Gender Information
Abstract: Speech emotion recognition is a speech processing task and a computer-based approach designed to identify and classify the emotions conveyed in audio signals. The aim of this system is to evaluate a speaker's emotional state, such as happiness, anger, sadness, or frustration, by analyzing their speech patterns, which include prosodic features like pitch, frequency, and rhythm. Speech emotion recognition is used in various real-life scenarios that include Customer Service, Healthcare, …
Published in Journal of Communication Engineering & Systems · Vol. 15, Issue 1, 2025 · pp. 1–10 Read article
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Automatic Number Plate Recognition Based Image Processing
Abstract: In most countries, traffic control and vehicle owner identification have become important problems. It is almost impossible to identify vehicle owners who break rules of the traffic, especially those driving at high speeds. Another problem inhibits traffic officers from catching the offenders in most cases because solving traffic offenders involves retrieving license plate numbers from fast-moving vehicles. Automatic Number Plate Recognition (ANPR) systems have been developed as an effective solution …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 1, 2025 · pp. 33–40 Read article
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Explainable Artificial Intelligence in Personalized Medicine: Emerging Clinical Perspectives
Abstract: The convergence of artificial intelligence (AI) and precision medicine has transformed contemporary healthcare by enabling data-driven clinical decision-making, individualized therapeutic interventions, and predictive diagnostics. However, despite remarkable advances in machine learning (ML) and deep learning (DL), the widespread adoption of AI in healthcare remains constrained by the “black-box” nature of many computational systems. Clinicians, regulatory agencies, and patients increasingly demand transparency, interpretability, and trustworthiness in AI-guided medical recommendations. Explainable Artificial …
Published in Emerging Trends in Personalized Medicines · Vol. 3, Issue 2, 2026 · pp. 13–29 Read article