Search
95 articles for “Cell imaging”
-
Analysis & Detection Kidney Stone Images using Fuzzy Techniques
Abstract: Kidney Stone is the most debilitating sort in one of the deadliest malignancies type of tumor. Over the a few years the occasion of dangerous tumor has consistently reached out, considering the way that the fix of the disease depends upon its fundamental judgment. Two noteworthy sorts of lung tumor, Small cell & Non-small cell Kidney Stone. The lungs are normally sweeping in measure along these lines tumors can create …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 8, Issue 2, 2021 Read article
-
Non-Small Cell Lung Cancer: Types, Pathogenesis, Diagnosis, and Novel Therapeutic Strategies
Abstract: Non-small cell lung cancer (NSCLC) is the most prevalent type of lung cancer, accounting for over 85% of all cases globally. It remains one of the primary causes of cancer-related death due to its rapid progression, few early symptoms, and late detection. The three main forms of non-small cell lung cancer (NSCLC) are adenocarcinoma, squamous cell carcinoma, and giant cell carcinoma; each has a unique histology, prognosis, and response to …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 16, Issue 2, 2026 · pp. 07–22 Read article
-
Non -Invasive Ways to Detect Cancer
Abstract: Cancer is a diverse group of diseases characterized by uncontrolled cell growth and division, affecting millions worldwide and being a leading cause of death. The disease typically involves genetic alterations that disrupt the normal balance of cell growth, leading to the formation of tumors. Tumors can be benign, posing no threat as they do not spread, or malignant, capable of invading nearby tissues and metastasizing. There are more than 100 …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 14, Issue 2, 2024 · pp. 59–67 Read article
-
Role of Imaging and Clinico-Endoscopic Assessment in the Upstaging and Management of Laryngeal Malignancies
Abstract: Carcinomas of larynx are the very common primary head and neck malignancies. Cancer of larynx accounts for 30 percent of all head and neck cancers. The American Cancer Society’s most recent estimates for laryngeal cancer in the United States for 2013 are, about 12,260 new cases are laryngeal cancer, being 9680 in men and 2580 in women. Laryngeal cancer has also a strong socioeconomic association, being twice as common in …
Published in Research and Reviews : Journal of Surgery · Vol. 5, Issue 3, 2016 · pp. 1–16 Read article
-
Overview of Deep Learning: Applications in Various Areas
Abstract: Deep learning is emerging field in the sense of artificial intelligence. Deep-learning innovation powers numerous parts of current society: from web quests to content sifting on interpersonal organizations to proposals on web-based business sites, and it is progressively present in shopper items, for example, cameras and cell phones. Deep learning offers effective procedures to discover designs in information for taking care of testing prescient issues. Deep learning is widely used …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 5, Issue 3, 2018 · pp. 39–48 Read article
-
Nutrition Induced Remodeling Dynamics of Cell Membranes: Implications for Performance, Health, and Welfare Issues in Food Animals
Abstract: Cell membranes represent dynamic structural and functional platforms that integrate nutritional signals with cellular metabolism, immune competence, and physiological adaptation in food animals. Beyond their classical role as selective barriers, membranes actively regulate nutrient transport, signal transduction, and bioenergetics through highly responsive lipid and protein networks. Dietary components, particularly fatty acids, vitamins, minerals, amino acids, and bioactive compounds, critically influence membrane composition, fluidity, and stability, thereby shaping cellular function and …
Published in International Journal of Membranes · Vol. 3, Issue 1, 2026 · pp. 25–37 Read article
-
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
-
A Review on Brain Tumor Detection Techniques
Abstract: Brain tumor is an abnormal growth of the cells inside the brain. Detecting brain tumor takes special skills and techniques because they are difficult to detect – especially in early stages. The boundary of the tumor (i.e., the abnormality in brain) in an MRI or different medical images can be traced using image processing techniques. The input image to the system is taken either from the available database or the …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 1, Issue 3, 2014 · pp. 6–9 Read article
-
Virtuality Keyboard by AI
Abstract: As everyone knows, computer vision is used to process images in machine learning. Today, for this wonderful task, we are using OpenCV and the cv-zone library in Python. Everyone is familiar with OpenCV, and the cv-zone is essentially a library for hand detection, pose detection, face detection, and other related tasks. By this, we created a keyboard named as “Virtuality Keyboard”. It is just another example of today's computer trend …
Published in Journal of Computer Technology & Applications · Vol. 13, Issue 1, 2022 · pp. 24–36 Read article
-
Detection of Brain Tumor from MRI using MATLAB
Abstract: Brain Tumor is an abnormal growth of cells in the brain which can affect the functioning of the brain and at times can be fatal. The detection of brain tumor is challenging because of the complex structure of brain. This paper discusses about the detection of brain tumor using MATLAB through image processing. Magnetic Resonance Imaging (MRI) plays an important role in analysis, diagnosis and treatment planning of brain tumor. …
Published in Journal of Microelectronics and Solid State Devices · Vol. 4, Issue 1, 2017 · pp. 28–31 Read article
-
Design and Numerical Analysis of Solar Powered Unmanned Aerial Vehicle Using Helium Gas
Abstract: The fundamental of unmanned aerial vehicle has been designed and runs for quite a while. This paper mainly focuses on the reduction of payload and power consumption resulting in increase of efficiency further by the use of helium gas in a solar powered unmanned aerial vehicle. In addition to these, another aim of the aircraft is its use in surveying purpose. A highly powerful live steaming camera is attached to …
Published in Journal of Aerospace Engineering & Technology · Vol. 5, Issue 2, 2015 · pp. 22–26 Read article
-
Carbon Quantum Dots and Bioinspired Photonic Nanomaterials for Next-Generation Optoelectronics, Nanomedicine, and Photodynamic Applications
Abstract: Carbon quantum dots (CQDs) and bioinspired photonic nanomaterials have emerged as promising multifunctional platforms for a wide range of applications in optoelectronics, nanomedicine, biosensing, fluorescence imaging, and photodynamic therapy. CQDs are nanoscale carbon-based materials characterized by unique optical and electronic properties, including size-dependent photoluminescence, high photostability, excellent water solubility, low cytotoxicity, and remarkable biocompatibility. These characteristics make them attractive alternatives to conventional semiconductor quantum dots for both technological and biomedical …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 4, Issue 2, 2026 · pp. 16–24 Read article
-
Crispr Cas – Revolutionizing Modern Therapies and Beyond
Abstract: CRISPR-Cas technology has emerged as a transformative tool in modern molecular biology, revolutionizing both fundamental research and clinical applications. This RNA-guided gene-editing system enables precise and efficient genomic modifications, offering unprecedented potential for addressing genetic disorders, infectious diseases, and oncological conditions through innovative therapeutic interventions. The inherent specificity and programmability of CRISPR-Cas systems have facilitated breakthroughs in diverse fields, including precision medicine, regenerative therapies, and immuno-oncology. Beyond its therapeutic applications, …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 3, Issue 1, 2025 · pp. 25–38 Read article
-
Classification and Detection of Brain Tumor using Convolutional Neural Network
Abstract: Tumors are masses created when brain cells multiply uncontrollably. A brain tumor is the medical term for this condition. Brain tumors are a serious and aggressive disease that can lead to a reduced life expectancy. Developing a treatment plan is essential to raising a patient's standard of living. Tumors in different regions of the body are evaluated using a variety of imaging techniques, with MRI pictures being utilized mostly for …
Published in International Journal of Cheminformatics · Vol. 1, Issue 1, 2023 · pp. 8–13 Read article
-
Substrates Effects on CdTe Thin Films Using Double Layer Thermal Evaporation
Abstract: The CdTe thin films are successfully deposited by a thermal evaporation method. In the CdTe/CdS/FTO glass and CdTe/CdS/AZO/FTO glass structures, modified double-layer thermal evaporation technique is applied for the preparation of CdTe thin films. The XRD analysis of CdTe thin films showed that the films are polycrystalline with a cubic structure. The scanning electron microscopy (SEM) image showed the homogeneous and uniform surface structure of the films. High conductivity of …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 9, Issue 2, 2019 · pp. 64–70 Read article
-
Biological Membranes: Structure, Function, and Their Roles in Disease Pathophysiology
Abstract: Biological membranes are important structures that control cellular work, signal transmission, transport, and communication. Dysfunction of membranes has been considered in the development of many diseases, such as cancer, neurodegenerative diseases, and infections, with the distortion of lipid composition, protein activity, and cellular connections involved in the pathogenesis of the disease. The damage on membrane can be caused by oxidative stress, genetic mutation, and environmental influence to disrupt cellular homeostasis. …
Published in International Journal of Membranes · Vol. 3, Issue 1, 2026 · pp. 38–46 Read article
-
Biopolymer–Cement Hybrid Panels from Recycled Paper Mill Reject: Experimental Characterisation and Machine Learning Optimization
Abstract: The increased rate of the accumulation of industrial residues in the developing countries is a major cause of concern for the environment. The current study brings forth the use of industrial residues in the form of the production of eco-friendly building materials as a sustainable approach to their valorization. The valorization of recycled paper mill reject, a cellulose-based biopolymeric industrial residue, is being addressed in this study as a reinforcement …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 67–90 Read article
-
Integrated DIPlib and OpenCV Framework for Precise Geometric Characterisation of Woven Fibre-Reinforced Polymer Composites
Abstract: The mechanical properties of woven fibre-reinforced polymer (FRP) composites stem entirely from the geometrical regularity inherent in their reinforcement structure. Changes in the size of the unit cell, fibre tow separation, weave angle, and fibre tow spacing will have an immediate effect on the stiffness and shear modulus of the material. In this paper, a combined machine vision system that incorporates both the OpenCV and DIPlib libraries is proposed for …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 158–171 Read article
-
Microstructural Characteristics and Mechanical Properties of the Green Composites Reinforced Bamboo Optimized the Treated Parameters
Abstract: Concrete and steel are traditional building materials with high strength and stress. They are usedeffectively in civil construction, structures of bridges and others. According to the current trend, theconstruction materials have more attention for low density and high durability which produced fromnatural materials; moreover, they are able to be recycled and reused. In this study, the green compositeswere fabricated based on the highly performance epoxy combined with bamboo to get …
Published in Journal of Polymer & Composites · Vol. 9, Issue 1, 2021 · pp. 28–38 Read article
-
DeMe-Net Model to Diagnose Skin Cancer Disease from Skin Lesion
Abstract: Skin cancer is a quite common disease in the world and Melanoma is one of the serious types of skin cancer. It begins in melanocyte cells. Skin irritation or tanning due to UV radiation triggers changes in melanocytes, leading to uncontrolled growth of cells. It can potentially develop and spread if it is not treated early. The biopsy is a traditionally used method to diagnose skin cancer in which a …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 8, Issue 3, 2021 · pp. 10–20 Read article