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Detection of Fetal Abnormality Using ANN Techniques
This chapter proposes an approach of neural modeling for the diagnosis of fetus abnormality using ultrasound (US) images. The proposed method is a...
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Abnormality Detection in Breast Thermograms Using Modern Feature Extraction Technique
Digital Infrared Thermal Imaging (DITI) is a type of thermal imaging that uses a thermal camera to detect heat patterns. It is eminent that abnormal...
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Abnormality Detection in Smartphone-Captured Chest Radiograph Using Multi-pretrained Models
Lungs are the most important organs for living organisms. The Forum of International Respiratory Societies (FIRSs) told that most people are ignorant...
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MSDNet: a deep neural ensemble model for abnormality detection and classification of plain radiographs
Modern medical diagnostic techniques facilitate accurate diagnosis and treatment recommendations in healthcare. Such diagnostics procedures are...
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Review of Abnormality Detection and Fault Diagnosis Methods for Lithium-Ion Batteries
Electric vehicles are develo** prosperously in recent years. Lithium-ion batteries have become the dominant energy storage device in electric...
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Intelligent Prediction of Cardiac Abnormality
Cardiac abnormalities are very common in today’s world. Efficient and early prediction will help in saving the life of several individuals. ECG is a...
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Automated ECG Signals Analysis for Cardiac Abnormality Detection and Classification
The electrocardiogram (ECG) is a critical, non-invasive tool for diagnosing cardiovascular diseases, offering insights into heart function. However,...
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Cloud-Based Remote Patient Monitoring System with Abnormality Detection and Alert Notification
The availability, accessibility, and affordability of good healthcare services to remote, rural, and develo** parts of the world is a major...
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Multi-frame Abnormality Detection in Video Capsule Endoscopy
Video capsule endoscopy (VCE) provides a minimally invasive and highly effective screening mechanism for gut illness. Unfortunately, current methods...
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Enhancing pulmonary abnormality detection with an optimized CNN architecture incorporating depth-wise separable convolution and inception module
Infectious lung diseases are a global health concern, and deep learning, particularly convolutional neural networks (CNNs), holds promise for...
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Detection of Brain Tumor Abnormality from MRI FLAIR Images using Machine Learning Techniques
Brain tumor is one of the abnormalities that can affect people of all ages and result in death. Because the brain controls all other body parts, it...
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Automatic Abnormality Detection in Musculoskeletal Radiographs Using Ensemble of Pre-trained Networks
Musculoskeletal disability (MSDs) defined as the injuries that affect the movement or musculoskeletal system of the human body. Over the worldwide,...
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Proposing Lung Abnormality Detection Model Using AI
The diagnostic imaging industry in many countries is currently severely under-resourced. The reason is that people know about it is not too much....
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Abnormality Detection in Heart Using Combination of CNN, RNN and U-Net
Nowadays when people are rapidly progressing in technology and various other departments, they are forgetting very basic thing, i.e., living...
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Dilated CNN for abnormality detection in wireless capsule endoscopy images
Wireless capsule endoscopy is a non-invasive and painless procedure to examine the gastrointestinal tract of human body, and an experienced clinician...
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An Effective CAD System for Heart Sound Abnormality Detection
The study of heart sound signals is considered a helpful approach for monitoring heart diseases and for assessing heart hemodynamic condition. In...
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Early Detecting the Abnormality of Heart Function via drtabc.com System (Made by Viet Nam)
Most recent non-invasive blood pressure measurements only show systolic and diastolic pressure; some devices can alert the abnormal heart rhythm....
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Traffic Monitoring and Abnormality Detection Methods for Decentralized Distributed Networks
Modern information systems are most often created as distributed, and include a large number of various devices connected by means of networks....
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RETRACTED ARTICLE: An improved convolutional neural network for abnormality detection and segmentation from human sperm images
Recent days, the infertility is affecting one of every ten couples. This makes the negative effect on the quality of a couple’s life, social causes,...
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Abnormality Detection in Financial Transactions Using Graph Representation Learning
Financial data analysis has become a crucial aspect of data analysis, primarily due to the increasing reliance on digital financial transactions....