A5077957509- Medical Image Segmentation Techniques
- COVID-19 epidemiological studies
- Medical Imaging Techniques and Applications
- Advanced X-ray and CT Imaging
- AI in cancer detection
- Fractional Differential Equations Solutions
- Image and Signal Denoising Methods
- SARS-CoV-2 and COVID-19 Research
- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
- Cardiovascular and exercise physiology
- Heart Rate Variability and Autonomic Control
- Image Enhancement Techniques
- Industrial Vision Systems and Defect Detection
- Photopolymerization techniques and applications
- Radiation Dose and Imaging
- Digital Imaging for Blood Diseases
- Advanced MRI Techniques and Applications
- Advanced Numerical Analysis Techniques
- COVID-19 Pandemic Impacts
- EEG and Brain-Computer Interfaces
- Hemodynamic Monitoring and Therapy
- Image Processing Techniques and Applications
- Numerical methods in engineering
- Brain Tumor Detection and Classification
Indian Institute of Toxicology Research
2025
Institute of Liver and Biliary Sciences
2024
King George's Medical University
2016-2024
National Institute of Technology Warangal
2024
Indian Institute of Information Technology Design and Manufacturing Jabalpur
2015-2024
Tata Consultancy Services (India)
2018
Indian Institute of Technology Kanpur
2002-2013
University of Delaware
2011
Harcourt Butler Technical University
2010
Corona Virus Disease 2019 (COVID19) has emerged as a global medical emergency in the contemporary time. The spread scenario of this pandemic shown many variations. Keeping all mind, article is written after various studies and analysis on latest data COVID19 spread, which also includes demographic environmental factors. After gathering from resources, integrated passed into different Machine Learning Models order to check its appropriateness. Ensemble Technique, Random Forest, gives good...
The market for ultraviolet curing technology has been growing at double‐digit rates in the last 10 years. main reason such a rapid technological growth of UV is its unique process characteristic, which allow UV‐coating to be applied on virtually any substrates, including plastic, metal, composite, wood, paper, leather, vinyl, glass, magnetic recording tape and even human teeth. original driving forces behind commercialisation UV‐technology were energy saving freedom from solvents. These...
Breast cancer is the most common in women worldwide. It frequently diagnosed among 140 countries out of 184 reporting countries. Lesions breast are abnormal areas tissues. Various types lesions include (1) microcalcifications, (2) masses, (3) architectural distortion, and (4) bilateral asymmetry. Microcalcification can be classified as benign, malignant, benign without a callback. In present manuscript, we propose an automatic pipeline for detection various categories microcalcification. We...
Bacterial vaginosis (BV) is a common clinical manifestation of perturbed vaginal ecology associated with adverse sexual and reproductive health outcomes if left untreated. The existing diagnostic modalities are either cumbersome or require skilled expertise, warranting alternate tests. Application machine-learning tools to heterogeneous high-dimensional multi-omics datasets finds promising potential in data integration may aid biomarker discovery.
Menstrual health is a crucial aspect of women's well-being, especially for college students who often face challenges related to menstrual morbidities and limited access accurate information. This study aims assess the knowledge menstruation, prevalence morbidities, their impact on quality life among girls in Lucknow. A cross-sectional survey was conducted 37 from various institutions The explored understanding health, common disorders (such as dysmenorrhea irregular periods), how these...
Menstrual health is a critical aspect of women's well-being, particularly for college students who face academic pressures and social challenges. morbidities, such as dysmenorrhea (painful menstruation), menorrhagia (heavy menstrual bleeding), premenstrual syndrome (PMS), are prevalent among young women can significantly affect their quality life (QoL). This study aims to assess the prevalence impact these conditions on daily lives girls, focusing performance, physical health, emotional...
Abstract Depression is a neurological disorder, and biomedical signal analysis can
support its diagnosis. Electroencephalography (EEG) one of the biological signals
that employed to capture brain neural activity via multiple electrodes. However, the
use many electrodes increases both measurement system costs increases
patient discomfort during EEG recording. This research introduces model that
employs reduced number detect depression, incorporating...
This paper discusses an approach for automatic detection of abnormalities in the mammograms. Image processing techniques have been applied to accurately segment suspicious region-of-interest (ROI) prior abnormality detection. Unsharp masking has enhancement mammogram. Noise removal done by using median filtering. Discrete wavelet transform on filtered image get accurate result segmentation. Suspicious ROI segmented fuzzy-C-means with thresholding technique. Tamura features, shape based...
Brain tumor detection has gained research interest due to complexity involved in and mortality ratio over the few decades. The present manuscript primarily addresses issues regarding benign brain detection. involves segmentation primary stage. Segmentation using existing techniques have some limitation like unable handle noisy data detect small intensity variation image. In this manuscript, a new fractional mask design for is proposed. Qualitative quantitative analysis been performed prove...
Lung is a major part of our body. Any disease in the lung can affect whole respiratory system. cancer considered one most dangerous types where death rate relatively more than other cancer. It be diagnosed an appropriate manner only if nodules are classified at early stage its growth. A Computer-Aided Diagnosis (CAD) system improve accuracy properly classifying cancerous cells which will surely increase survival patients. This research study has proposed transfer learning approach for...
Abstract Purpose – The purpose of this paper is to develop a novel organic‐inorganic (epoxy‐silicone) hybrid resin for application in heat resistant surface coatings. Design/methodology/approach Thermally stable aminosilicone was prepared by using diethoxydimethyl silane and γ‐aminopropyldiethoxy methyl silane. Findings epoxy silicone shows significant properties such as toughness, chemical resistance thermal stability. Research limitations/implications amino siloxane cured commercially...
Automatic segmentation of abnormal region is a crucial task in computer-aided detection system using mammograms. In this work, an automatic abnormality algorithm mammographic images proposed. the preprocessing step, partial differential equation-based variational level set method used for breast extraction. The evolution done by applying mesh-free-based radial basis function (RBF). limitation mesh-based approach removed RBF method. also finite difference comparison purpose. Unsharp masking...
Abstract Deep learning has made significant contributions to the medical field and shown great potential in various applications. Its ability process vast amounts of data extraction patterns enabled breakthroughs research, diagnosis treatment. The application deep plays a vital role depression detection. Depression is neurological disorder characterized by persistent feelings sadness, hopelessness lack interest. prevalence factor contributing rise suicide cases on global scale....
This article proposes an efficient two-dimensional (2D) pixel-driven multiplicative algebraic reconstruction technique (PdMART) on a general purpose graphical processing unit (GPU), Nvidia graphics card GTX-275. It has been tested numerical data and also real that have obtained from the micro–computed tomography scanner installed at University of Manchester. We used having 90 projections 256 rays in each projection to test algorithm. The by scanning graphite core object size 30 mm × mm....
The present work encompasses a new image enhancement algorithm using newly constructed Chebyshev fractional order differentiator. We have used polynomials to design generated the high pass filter corresponding it. designed filters are applied for decomposing input into four bands and low-low (L-L) sub-band is updated correction coefficients. Reconstructed with L-L provides enhanced image. visual results obtained encouraging enhancement. applicability of developed illustrated on three...
Tomographic image reconstruction has a wide variety of applications ranging from engineering to medical applications. Algebraic methods, used obtain the solutions tomographic problems, are very slow in nature. This performance bottleneck been discussed detail present work. paper encompasses parallel (multi-processor based and multi-processor multi-GPU based) single-view coded multiplicative algebraic technique. It found that implementation this algorithm helps removing without compromising...