Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
Article Fingerprint
ReserarchID
CY0T5
This study collected, pre-processed dataset of chest radiographs, formulated a deep neural network model for detecting abnormalities. It also evaluated the performance of the formulated model and implemented a prototype of the formulated model. This was with the view to develop a deep neural network model to automatically classify abnormalities in chest radiographs. In order to achieve the overall purpose of this research, a large set of chest x-ray images were sourced for and collected from the CheXpert dataset, which is an online repository of annotated chest radiographs compiled by the Machine Learning Research group, Stanford University. The chest radiographs were preprocessed into a format that can be fed into a deep neural network. The preprocessing techniques used were standardization and normalization. The classification problem was formulated as a multi-label binary classification model, which used convolutional neural network architecture for making decision on whether an abnormality was present or not in the chest radiographs. The classification model was evaluated using specificity, sensitivity, and Area Under Curve (AUC) score as parameter.
Article content is being processed or not available yet.
Joy Nkechinyere Olawuyi. 2026. \u201cDomain Specific Deep Neural Network Model for Classification of Abnormalities on Chest Radiographs\u201d. Global Journal of Computer Science and Technology - D: Neural & AI GJCST-D Volume 23 (GJCST Volume 23 Issue D1): .
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
The methods for personal identification and authentication are no exception.
The methods for personal identification and authentication are no exception.
Total Score: 102
Country: Nigeria
Subject: Global Journal of Computer Science and Technology - D: Neural & AI
Authors: Joy Nkechinyere Olawuyi, Afolabi B.Samuel (PhD/Dr. count: 0)
View Count (all-time): 276
Total Views (Real + Logic): 2353
Total Downloads (simulated): 20
Publish Date: 2026 01, Fri
Monthly Totals (Real + Logic):
Neural Networks and Rules-based Systems used to Find Rational and
A Comparative Study of the Effeect of Promotion on Employee
The Problem Managing Bicycling Mobility in Latin American Cities: Ciclovias
Impact of Capillarity-Induced Rising Damp on the Energy Performance of
We are currently updating this article.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.