Search
65 articles for “MRI imaging”
-
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
-
Machine Learning-Based Disease Prediction: A Comparative Analysis for Diabetes, Brain Tumor, and Parkinson's Disease
Abstract: This paper presents a web-based disease prediction system that integrates machine learning and deep learning techniques to assist in the early detection of Parkinson’s Disease, Diabetes, and Brain Tumors. By utilizing clinical data and MRI images, the platform provides rapid and interpretable predictions to support proactive health management. Logistic Regression models are applied to classify structured datasets for predicting Parkinson’s disease and Diabetes, making use of their effectiveness in binary …
Published in Current Trends in Signal Processing · Vol. 15, Issue 2, 2025 · pp. 44–54 Read article
-
Fuzzy C-Means Clustering for Effective Segmentation and Classification of Brain Tumors in MRI Scans
Abstract: The paper discusses the importance of detecting and classifying brain tumors via MRI for effective treatment. It proposes a framework utilizing the Fuzzy C-means clustering algorithm for segmentation, demonstrating improved performance through real dataset validation. The model is trained on a large, annotated MRI dataset to identify and classify different tumor types, enabling machine learning-based classification into benign and malignant tumors. The MATLAB-based solution automates brain tumor feature extraction, aiding …
Published in Journal of Microwave Engineering and Technologies · Vol. 11, Issue 2, 2024 · pp. 23–28 Read article
-
Deep Learning-Based Alzheimer’s Disease Detection: A CNN Approach
Abstract: Alzheimer’s disease (AD) is a neurological condition that worsens with time and impairs a patient’s quality of life by causing cognitive loss. For prompt intervention and management of AD, early identification is essential. In this work, we propose a deep learning-based method for automatically classifying Alzheimer’s disease from medical imaging data using convolutional neural networks (CNNs). Our algorithm is intended to evaluate brain MRI images and detect anatomical variations suggestive …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 15, Issue 3, 2025 Read article
-
A Rare Cause of Parkinsonism—Manganese Toxicity
Abstract: A 43-year-old male presented with six months history of gradual onset and progressive bradykinesia, tremors of upper limbs and walking difficulty in the form of imbalance and short shuffling gait. He also had slurring of speech with hypophonia. Neurological examination revealed slow broken saccades, rigidity with cogwheeling, bradykinesia and short shuffling, festinant gait. He had action and postural tremors of upper limbs. Pull test was positive. Thus, a diagnosis of …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 9, Issue 1, 2019 · pp. 29–32 Read article
-
Covariance based Clustering for Digital Image Compression
Abstract: Traditionally clustering is done based on distance between the data points and the cluster centroids. A new type of clustering based on distance between the covariance matrices of the clustered data points was recently introduced. This allows clustering data points according to their spatial distribution model. This paper presents an improved algorithm for the computation of covariance based clustering with application to digital image compression. Karhunen-Loeve Transform is an optimal …
Published in Current Trends in Information Technology · Vol. 8, Issue 1, 2018 · pp. 16–21 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
-
Brain Tumor Detection Through CNN: Techniques, Dataset Insights, and Methodology
Abstract: Computer technologies are playing huge roles in some areas of the medical domain like surgery and therapy of different diseases. Researchers are doing studies and trying to experiment to detect different diseases like cancer, virus infections, and leprosy. There are many different medical imaging datasets that are publicly available for medical research purposes of diseases like cancer, virus infections, and leprosy, etc. where we can be able to access large …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 1, 2025 · pp. 30–40 Read article
-
A Split and Merge UNet: A Deep Learning Assisted UNet Model to Segment Corpus Callosum of Brain for Automatic Autism Detection
Abstract: In recent years, deep learning techniques have shown remarkable performance in various image analysis applications, particularly in the domain of medical image processing. Among these, image segmentation plays a critical role, as it helps in isolating and analyzing specific regions within medical images. The proposed study focuses on segmenting the corpus callosum, a vital structure in the human brain, using a novel optimization technique known as the Split and Merge …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 11, Issue 3, 2024 · pp. 1–9 Read article
-
Early Alzheimer’s Disease Prediction Using Vision Transformers and Attention-Guided MRI Analysis
Abstract: Alzheimer’s Disease (AD) continues to be a major global health concern, with early detection being crucial for effective intervention. While conventional machine learning and convolutional neural network (CNN) approaches have made notable progress in automated AD diagnosis using MRI data, they often struggle with capturing long-range dependencies and maintaining spatial contextual awareness. In this research, we propose a novel framework using Vision Transformers (ViTs) for early Alzheimer’s prediction from 3D …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 16, Issue 1, 2026 · pp. 30–40 Read article
-
Unresolved and misdiagnosed of floating sensation in young man
Abstract: Persistent Postural-Perceptual Dizziness (PPPD) stands out as a prevalent peripheral vestibular disorder, earning its recognition in the International Classification of Vestibular Disorders in 2017. Characterized by chronicity, this condition manifests symptoms persisting for more than three months, encompassing a disconcerting array such as a floating sensation, unsteadiness, and dizziness. Notably, individuals afflicted with PPPD often report symptom exacerbation following prolonged standing, self-initiated motion, or exposure to dynamic visual stimuli. This …
Published in International Journal of Brain Sciences · Vol. 1, Issue 1, 2024 · pp. 1–4 Read article
-
A Comparative Study of different Techniques to predict Maternal Morbidity and Mortality Model
Abstract: Artificial intelligence (AI) encompasses a range of techniques, including machine learning and deep learning, which are increasingly utilized in the healthcare sector for tasks such as disease diagnosis and drug discovery. To achieve accurate disease diagnosis through AI, it is essential to integrate data from multiple medical sources, including ultrasound imaging, magnetic resonance imaging (MRI), mammography, genomics, and computed tomography (CT) scans, among others. This article presents a comprehensive review …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 1, 2025 Read article
-
Optical Fibre Pressure Sensor in Medicine: A Study
Abstract: In the intricate landscape of human health, precise measurement of physiological parameters is paramount for accurate diagnosis, effective treatment, and continuous patient monitoring. Among these vital parameters, pressure plays a critical role – from the subtle pulsatile rhythm of blood flow to the immense force of an intracranial hemorrhage. For decades, traditional electronic pressure sensors have served this purpose, yet they often come with inherent limitations: concerns about electrical interference, …
Published in Recent Trends in Sensor Research & Technology · Vol. 12, Issue 3, 2025 · pp. 18–27 Read article
-
A Review of Literature on Breast Cancer: Molecular Insights, Clinical Approaches, and Future Perspectives
Abstract: Breast cancer is the leading cause of morbidity and mortality in women globally. Although both men and women can get the condition, women are more likely to get it, and its prevalence has been rising globally in recent years. The epidemiology, risk factors, pathophysiology, diagnosis, treatment options, and survival rates of breast cancer are all examined in this review of recent research. Breast cancer can show up as a lump …
Published in International Journal of Oncological Nursing and Practices · Vol. 3, Issue 2, 2025 · pp. 15–20 Read article
-
Paediatric Epilepsy: Current Advances in Diagnosis and Management
Abstract: Paediatric epilepsy is one of the most common chronic neurological disorders of childhood, characterised by recurrent unprovoked seizures resulting from abnormal neuronal activity. Accurate diagnosis is essential and is based on a detailed clinical history, seizure semiology, neurological examination, and electroencephalography (EEG), with neuroimaging such as magnetic resonance imaging (MRI) used to identify structural abnormalities. Classification according to seizure type and underlying aetiology genetic, structural, metabolic, immune, infectious, or unknown—guides …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 16, Issue 1, 2026 · pp. 53–68 Read article
-
Artificial Intelligence in Early Diagnosis and Personalized Treatment of Alzheimer’s Disease
Abstract: Artificial intelligence (AI) has become a disruptive technology in the medical care industry, with potential solutions to early diagnosis and customized treatment of Alzheimer’s disease (AD), a progressive neurodegenerative disease and the most prevalent cause of dementia globally. Conventional diagnostic techniques, such as cognitive, neuroimaging and biomarker techniques, are usually limited in the ability to detect disease at its most susceptible stage when treatment interventions are most effective. The recent …
Published in International Journal of Brain Sciences · Vol. 3, Issue 2, 2026 · pp. 15–27 Read article
-
Evaluation of SAR and Temperature Elevation in Human Head for Advanced Wireless Services (AWS) Application
Abstract: In this paper, the specific absorption rate (SAR) and the temperature rise in the SAM phantom human head model as a consequence of the exposure to radiation of planar inverted F (PIFA) mobile handset antenna has been estimated at Advanced Wireless Services (AWS) band downlink frequency range. Biological hazards on human head owing to electromagnetic wave (EMW) exposure in advanced wireless services has been analyzed by computing the temperature rise …
Published in Journal of Microwave Engineering and Technologies · Vol. 3, Issue 3, 2016 · pp. 19–24 Read article
-
Value of Antenatal Diagnosis and Outcome in Dandy-Walker Malformation
Abstract: Dandy-Walker malformation is a rare congenital brain malformation characterized by hypoplasia and upward rotation of the cerebellar vermis, cystic dilation of the 4th ventricle and enlargement of the posterior fossa. Ultrasonography of the central nervous system is an integral part of a prenatal scan, and the development of imaging technologies have led to better diagnostic possibilities. Here, we present an antenatal diagnosis of a case of Dandy-Walker malformation at 40 …
Published in Journal of Nursing Science & Practice · Vol. 5, Issue 2, 2015 · pp. 37–41 Read article
-
Medical Healthcare Applications
Abstract: Medical imaging may be a heatedly contested field wherever winning merchandise maximize healthcare price by providing the simplest pictures within the shortest quantity of your time to assure correct designation and treatment for patients whereas maximizing the potency of workers and facilities. The advancement of medical imaging has resulted in terribly giant knowledge sets and progressively advanced algorithms golf stroke ever-growing demands on process power and gap plenty of opportunities …
Published in Research and Reviews: A Journal of Medicine · Vol. 9, Issue 3, 2019 · pp. 35–38 Read article
-
Convolutional Neural Network and Transfer Learning-based Approach for Brain Tumor Detection in Magnetic Resonance Imaging
Abstract: Brain tumors are among the most invasive illnesses that can affect both children and adults. Brain tumors develop very quickly, and if not treated at the proper time, they decrease the patient's chances of survival. It is crucial to find brain tumors at an early stage. To increase patients’ life expectancy, proper treatment planning and precise diagnostics are most important. The best way to detect brain tumors is via Magnetic …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 13, Issue 2, 2023 · pp. 23–30 Read article