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Results: 40
Noise Removal in Lung LDCT Images by Novel Discrete Wavelet-Based Denoising With Adaptive Thresholding Technique
Cancer is presently one of the prominent causes of death in the world. Early cancer detection, which can improve the prognosis and survival of cancer patients, is challenging for radiologists. Low-dose computed tomography, a...
Published by: IGI Global
Lung Tumor Segmentation Using Marker-Controlled Watershed and Support Vector Machine
The medical imaging technique showed remarkable improvement in interventional treatment of computer-aided medical diagnosis system. Image processing techniques are broadly applied in detection and exploring the abnormalities...
Published by: IGI Global
Noise Removal in Lung LDCT Images by Novel Discrete Wavelet-Based Denoising With Adaptive Thresholding Technique
Cancer is presently one of the prominent causes of death in the world. Early cancer detection, which can improve the prognosis and survival of cancer patients, is challenging for radiologists. Low-dose computed tomography, a...
Published by: IGI Global
Screening of Radiological Images Suspected of Containing Lung Nodules
This paper presents a study about screening large radiological image streams produced in hospitals for earlier detection of lung nodules. Being one of the most difficult classification tasks in the literature, our objective is...
Published by: IGI Global
Fully Automatic Detection and Segmentation Approach for Juxta-Pleural Nodules From CT Images
Early detection of all types of lung nodules with different characters in medical modality images using computer-aided detection is the best acceptable remedy to save the lives of lung cancer sufferers. But accuracy of different...
Published by: IGI Global
An Empirical Study on Factors Affecting Switching Intention to Cloud Enterprise Resource Planning
With the diffusion of cloud computing, public and private enterprise resource planning (ERP) have received increasing attention. However, several prior studies have investigated the factors that affect cloud system adoption for...
Published by: IGI Global
Post Thoracic Surgery Life Expectancy Prediction Using Machine Learning
Lung cancer survival rate is very limited post-surgery irrespective it is “small cell and non-small cell”. Lot of work have been carried out by employing machine learning in life expectancy prediction post thoracic surgery for...
Published by: IGI Global
A Cross-Cultural Perspective on the Blended Service Quality for Ride-Sharing Continuance
This research aims to elucidate the service quality factors influencing customer satisfaction with ride-sharing services. Particularly, this research compares Chinese and US consumers to identify the influence of national...
Published by: IGI Global
Categorical Data Clustering Using Harmony Search Algorithm for Healthcare Datasets
Healthcare analytics provide many benefits in healthcare dashboard systems. Healthcare datasets majorly contains categorical attributes. This paper proposed an optimized clustering for healthcare dataset named harmony search...
Published by: IGI Global
Integration of Multi-Omics Data to Identify Cancer Biomarkers
Peng Li, Bo Sun
Jan 01, 2022
A novel method for integrating multi-omics data, including gene expression, copy number variation, DNA methylation, and miRNA data, is proposed to identify biomarkers of cancer prognosis. First, survival analysis was performed...
Published by: IGI Global
Survey of Recent Applications of Artificial Intelligence for Detection and Analysis of COVID-19 and Other Infectious Diseases
The purpose is to illustrate how artificial intelligence (AI) technologies have been used for detection and analysis of COVID-19 and other infectious diseases such as breast, lung, and skin cancers; heart disease; and others....
Published by: IGI Global
Exploring Consumer Adoption of Mobile Shopping Apps From a Perspective of Elaboration Likelihood Model
Thi Vo, Kuang-Wen Wu
Jan 01, 2022
This study aims to integrate perceived risk into elaboration likelihood model, develop a comprehensive research model to explain dual routes of persuasive communication through various factors affecting individual acceptance and...
Published by: IGI Global
Factors Affecting Consumer Behavior in Omni-Channel Marketing of the Fitness Industry
The Online to offline (O2O) model has been used as an important strategy for marketers to rethink their Omni-Channel marketing recently. Perceived factors have been studied to investigate the factors that really influence...
Published by: IGI Global
Smart Agriculture and Food Storage System for Asia Continent
Asia is the largest and most populous continent of Earth with an overall population of 446.27 crores. Housing this population drives various challenges in different aspects, in which providing healthy and nutritious food to each...
Published by: IGI Global
Liver Disease Detection
Intelligent predictive systems are showing a greater level of accuracy and effectiveness in early detection of critical diseases like cancer and liver and lung disease.Predictive models assist medical practitioners in...
Published by: IGI Global
Analysis of Asymmetric Quantity Commitment in Decentralized Supply Chains
Quantity commitment chosen by firms in competition has been demonstrated by previous studies to mitigate price competition. This study demonstrates that asymmetric quantity commitment can always arise when one firm (e-tailer)...
Published by: IGI Global
Regional Economic Competition, Fiscal Subsidies, and Overcapacity
Promotion tournaments theory and regional economic competition can be used to explain China's overcapacity. This study used the non-radial distance function to evaluate the overcapacity considering resource and environmental...
Published by: IGI Global
A Top-K QoS-Optimal Service Composition Approach Based on Service Dependency Graph
With the development of internet of things (IoT) technology, servitization of IoT device functions has become a trend. The cooperation between IoT devices can be equivalent to web service composition. However, current service...
Published by: IGI Global
Book Review
In recent years, wearable and mobile technologies have been applied in different domains such as medical, personal safety, sports, and lifestyle computing (Cheng & Mitomo, 2017). Wearable technologies may help users bring their...
Published by: IGI Global
What is the optimal management of potentially resectable stage III-N2 NSCLC? Results of a fixed-effects network meta-analysis and economic modelling.
INTRODUCTION: There is a critical need to understand the optimal treatment regimen in patients with potentially resectable stage III-N2 nonsmall cell lung cancer (NSCLC). METHODS: A systematic review of randomised controlled...
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Designing and Evaluating an Automatic Forensic Model for Fast Response of Cross-Border E-Commerce Security Incidents
The rapid development of cross-border e-commerce over the past decade has accelerated the integration of the global economy. At the same time, cross-border e-commerce has increased the prevalence of cybercrime, and the future...
Published by: IGI Global
Study of the Impact of the Rise and Fall of the Coal Industry on the Regional Economy
Coal has always been an important foundation for China’s economy. The booming and declining of the coal industry can directly impact the regional economy. This study researches the impact of the rise and fall of the coal...
Published by: IGI Global
Reversible Watermarking on Stereo Audio Signals by Exploring Inter-Channel Correlation
A new reversible watermarking algorithm on stereo audio signals is proposed in this article. By utilizing correlations between two channels of audio signal, the authors segment one channel based on another one according to the...
Published by: IGI Global
Impact of Premium and Price Cuts on Consumer Purchase Intention
This study aims to compare the price cut and premium promotion with study moderators are discount depth size, product type, premium characteristics, and country effect (Indonesia and Taiwan). The experiment was designed as...
Published by: IGI Global
Stock Price Prediction Based on Data Mining Combination Model
Predicting stock indexes is a common concern in the financial world. This work uses neural network, support vector machine (SVM), mixed data sampling (MIDAS), and other methods in data mining technology to predict the daily...
Published by: IGI Global

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