A5026305229- Image and Signal Denoising Methods
- AI in cancer detection
- Optical Wireless Communication Technologies
- Optical Network Technologies
- Spectroscopy and Chemometric Analyses
- Medical Image Segmentation Techniques
- Advanced Neuroimaging Techniques and Applications
- MRI in cancer diagnosis
- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
- Dental Trauma and Treatments
- Particle Detector Development and Performance
- Retinal Imaging and Analysis
- Cutaneous Melanoma Detection and Management
- Anomaly Detection Techniques and Applications
- Digital Imaging for Blood Diseases
- Radiation Detection and Scintillator Technologies
- dental development and anomalies
- Oral and Craniofacial Lesions
- Retinal Diseases and Treatments
- Advanced MRI Techniques and Applications
- Advanced Image Fusion Techniques
- Semiconductor Lasers and Optical Devices
- Satellite Communication Systems
- Topic Modeling
CT Group Of Institutions
2024
Shiv Nadar University
2015-2023
Bridge University
2020
Govind Ballabh Pant University of Agriculture and Technology
2019
Institute of Management Technology
2018
Jawaharlal Nehru University
2017-2018
Sikkim Manipal University
2014
King George's Medical University
2012-2013
Yahoo (United Kingdom)
2013
University of Puerto Rico-Mayaguez
1997
Deep Learning (DL) is a fastest growing and broader part of machine learning family. uses Convolutional Neural Networks (CNN) for image classification as it gives the most accurate results in solving real- world problem. CNN has various pre-trained architecture like AlexNet, GoogleNet, DenseNet, SqueezeNet, ResNet, VGGNet etc. In this study, we have used AlexNet detecting disease Mango Potato leaf compare accuracy efficiency between these architectures. The dataset containing 4004 images...
Diabetic Macular Edema (DME) is an advanced stage of Retinopathy (DR) and can lead to permanent vision loss. Currently, it affects 26.7 million people globally on account such a huge number DME cases the limited ophthalmologists, desirable automate diagnosis process. Computer-assisted, deep learning based could help in early detection, following which precision medication mitigate loss.In order screening DME, we propose novel DMENet Algorithm built pillars Convolutional Neural Networks...
Skin cancer is considered to be the most common human malignancy. Around 5 million new cases of skin are recorded in United States annually. Early identification and evaluation lesions great clinical significance, but disproportionate dermatologist-patient ratio poses a significant problem developing nations. Therefore novel deep architecture, named as SkiNet, proposed provide faster screening solution assistance newly trained physicians process diagnosis cancer. The main motive behind...
Cervical cancer affects 570,000 women globally and is among the most common causes of cancer-related deaths. caused due to Human Papilloma Virus (HPV) which leads abnormal growth cells in cervix region. Regular testing for HPV has helped reduce death rate developed countries. However, developing nations are still struggling provide low-cost solutions lack affordable medical facilities. The skewed ratio oncologists patients also aggravated problem. Motivated by Deep Learning Bio-medical...
Cystic lesions of transient nature viz. Epstein pearls, Bohn's nodules and dental lamina cysts are frequently found in the oral cavities newborn infants. These arise from developing tissues or their remnants. cystic not commonly seen by surgeons due to self-limiting ignorance parents seek professional opinion. However, when contacted anxious seeking treatment, should be able explain reassure about these need for no treatment but regular follow-up. The present case report was written with...
The objective of this study is to evaluate the efficacy deep learning (DL) techniques in improving quality diffusion MRI (dMRI) data clinical applications. aims determine whether use artificial intelligence (AI) methods medical images may result loss critical information and/or appearance false information. To assess this, focus was on angular resolution dMRI and a trial conducted migraine, specifically between episodic chronic migraine patients. number gradient directions had an impact...
The ability of wavelets to extract the high frequency component an image has made them useful for edge detection. details are analyzed and processed obtain edges. This work is primarily concerned with comparison Daubechies, Coiflet, Symlet purpose Discrete wavelet frame been sued detect edges in this work. Different filters varied lengths have used find out best criterion chosen same threshold selection. results experimentation suggest that Haar wavelet, which simplest Daubechies wavelets,...
A new analytical approximate expression for K distribution is proposed by expanding it in terms of orthogonal associated Laguerre polynomial. The expansion truncated after first three terms, which yields a fairly close approximation to distribution. advantage the that closed form bit error rate can be easily derived. KL measure used show accuracy approximation. probability density function and work well within desired range channel parameter $\alpha$ , $1 corresponds scintillation index...
Abstract COVID-19 has emerged as a global crisis with unprecedented socio-economic challenges, jeopardizing our lives and livelihoods for years to come. The unavailability of vaccines rendered rapid testing the population instrumental in order contain exponential rise cases infection. Shortage RT-PCR test kits delay obtaining results calls alternative methods reliable diagnosis. In this article, we propose novel Deep Learning based solution rapidly classify COVID -19 patient using chest...
Whenever characterization of a new DNA sequence takes place then, database search is carried out to find whether homolog's gene present or not. Various evolutions in this field have marked the shift from exact matching completely different concept, parameterized matching. Parameterized detected by consistent renaming text and pattern using bijective mapping. While finding matches between text, PBMH-Hash algorithm results frequent occurrence false with large number character comparison. This...
Abstract Diabetic Macular Edema (DME) is an advanced stage of Retinopathy (DR) and can lead to permanent vision loss. Currently, it affects 26.7 million people globally on account such huge number DME cases limited ophthalmologists, desirable automate the diagnosis process. Computer-assisted, deep learning based will help in early detection, following which appropriate medication mitigate Method: In order screening DME, we propose a novel DMENet Algorithm built pillars Convolutional Neural...
A new approximate expression for the probability density function (pdf) of K-distribution is proposed. The pdf found to be in good agreement with exact analytical closed-form over desired range scintillation index lying between 2 and 3. Employing proposed pdf, respect two QoS measures fade bit error rate (BER) valid under various modulation schemes given. Using generalised BER, plots ON–OFF keying binary phase shift are shown. resulting expressions provide a better understanding contrast...
This has been seen that in some application for finding the analytical solution of mathematical problem is too complicated , so recent years researcher devoted lots afforts to find numerical equation.In this paper an Gegenbauer wavelet method applied solve system generalized Abel's integral equation.This reduces equation a linear case such resulting gives unknown coefficient solutions.Illustrative examples have provided demonstrate validity and applicability proposed result compaired with...
The COVID-19 pandemic still affects most parts of the world today. Despite a lot research on diagnosis, prognosis, and treatment, big challenge today is limited number expert radiologists who provide diagnosis prognosis X-Ray images. Thus, to make accessible quicker, several researchers have proposed deep-learning-based Artificial Intelligence (AI) models. While these machine deep learning models work in theory, they may not find acceptance among medical community for clinical use due weak...
Lateral luxation is defined as the displacement of tooth in a direction other than axially. The present case report narrates management laterally luxated primary maxillary central incisor with occlusal interference using an inclined plane fabricated composite resin. resin was successfully used for correction cross-bite caused due to lateral particularly delayed presentation Pedodontics clinic after traumatic injury interference.
Crouzon syndrome is a rare genetic disorder caused due to mutations. It characterised by partial hearing loss, dry eyes, strabismus and underdevelopment of the upper jaw with facial deformities malocclusion. These greatly affect social emotional development affected child. The present case report highlights problems faced child suffering syndrome.
Face recognition has been studied long but it is still an important and current research field in deep learning, computer vision, forensics. There are several applications such as group action systems, human-machine interaction, security where face of vital importance. It noticed that the algorithms based on Deep Learning (DL) have shown higher performances, stipulation accuracy, processing speed compared to traditional machine learning algorithms. With its dominant methodology Convolutional...
Traumatic injuries to primary dentition may result in a wide range of developmental disturbances succedaneous permanent teeth. The prevalence morphological disturbances, secondary dental the dentition, ranges from 12% 69%. One are crown dilacerations which defined as displacement portion developing at an angle longitudinal axis tooth. dilaceration constitutes 3% total teeth and is usually because intrusion or avulsion their predecessors. present article narrates case mandibular right central...
The objective of this study is to evaluate the efficacy deep learning (DL) techniques in improving quality diffusion MRI (dMRI) data clinical applications. aims determine whether use artificial intelligence (AI) methods medical images may result loss critical information and/or hallucination false information. To assess this, focus was on angular resolution dMRI and a trial conducted migraine patients. number gradient directions had an impact white matter analysis results, with statistically...
Skin cancer is considered to be the most common human malignancy. Around 5 million new cases of skin are recorded in United States annually. Early identification and evaluation lesions great clinical significance, but disproportionate dermatologist-patient ratio poses significant problem developing nations. Therefore a deep learning based architecture, known as SkiNet, proposed with an objective provide faster screening solution assistance newly trained physicians diagnosis process. The main...