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Found 6 papers, 0 papers with code
Detection of Auditory Brainstem Response Peaks Using Image Processing Techniques in Infants with Normal Hearing Sensitivity
Findings: Image processing techniques were able to detect 1, 3, and 5 waves in the diagnosis field with accuracy (0. 82), (0. 98), and (0. 98), respectively, and its precision for waves 1, 3, and 5, were respectively (0. 32), (0. 97) and (0. 87).
Artificial Cardiac Conduction System: Simulating Heart Function for Advanced Computational Problem Solving
This work proposes a novel bio-inspired metaheuristic called Artificial Cardiac Conduction System (ACCS) inspired by the human cardiac conduction system.
Offline Handwriting Signature Verification: A Transfer Learning and Feature Selection Approach
Handwritten signature verification poses a formidable challenge in biometrics and document authenticity.
Multi-Transfer Learning Techniques for Detecting Auditory Brainstem Response
To address these issues, this study proposed deep-learning models using the transfer-learning (TL) approach to extract features from ABR testing and diagnose HL using support vector machines (SVM).
Exploiting the Generative Adversarial Network Approach to Create a Synthetic Topography Corneal Image
It also illustrates how produced medical images may be utilized to enrich medical data, improve clinical decisions, and boost the performance of the conventional neural network (CNN) for medical image diagnosis.
Automatic image annotation base on Naive Bayes and Decision Tree classifiers using MPEG-7
Recently it has become essential to search for and retrieve high-resolution and efficient images easily due to swift development of digital images, many present annotation algorithms facing a big challenge which is the variance for represent the image where high level represent image semantic and low level illustrate the features, this issue is known as semantic gab.
