Deep Transfer Learning Application for Automated Ischemic Classification in Posterior Fossa CT Images
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2019, Vol 10, Issue 8
Abstract
Computed Tomography (CT) imaging is one of the conventional tools used to diagnose ischemic in Posterior Fossa (PF). Radiologist commonly diagnoses ischemic in PF through CT imaging manually. However, such a procedure could be strenuous and time consuming for large scale images, depending on the expertise and ischemic visibility. With the rapid development of computer technology, automatic image classification based on Machine Learning (ML) is widely been developed as a second opinion to the ischemic diagnosis. The practical performance of ML is challenged by the emergence of deep learning applications in healthcare. In this study, we evaluate the performance of deep transfer learning models of Convolutional Neural Network (CNN); VGG-16, GoogleNet and ResNet-50 to classify the normal and abnormal (ischemic) brain CT images of PF. This is the first study that intensively studies the application of deep transfer learning for automated ischemic classification in the posterior part of brain CT images. The experimental results show that ResNet-50 is capable to achieve the highest accuracy performance in comparison to other proposed models. Overall, this automatic classification provides a convenient and time-saving tool for improving medical diagnosis.
Authors and Affiliations
Anis Azwani Muhd Suberi, Wan Nurshazwani Wan Zakaria, Razali Tomari, Ain Nazari, Mohd Norzali Hj Mohd, Nik Farhan Nik Fuad
Keywords
Related Articles
- EP ID EP626799
- DOI 10.14569/IJACSA.2019.0100859
- Views 96
- Downloads 0
Smart Grid Testbed using SCADA Software and Xbee Wireless Communication
This paper presents the development of Smart Grid testbed using SCADA software and Xbee wireless communication. The proposed testbed combines both the software simulation and the hardware simulation. The Winlog SCADA sof...
A New Automatic Method to Adjust Parameters for Object Recognition
To recognize an object in an image, the user must apply a combination of operators, where each operator has a set of parameters. These parameters must be “well” adjusted in order to reach good results. Usually, thi...
Synthetic Loads Analysis of Directed Acyclic Graphs for Scheduling Tasks
Graphs are structures used in different areas of scientific research, for the ease they have to represent different models of real life. There is a great variety of algorithms that build graphs with very dissimilar chara...
Ameliorate Threshold Distributed Energy Efficient Clustering Algorithm for Heterogeneous Wireless Sensor Networks
Ameliorating the lifetime in heterogeneous wireless sensor network is an important task because the sensor nodes are limited in the resource energy. The best way to improve a WSN lifetime is the clustering based algorith...
Security Issues in Cloud Computing and their Solutions: A Review
Cloud computing is an internet-based, emerging technology, tends to be prevailing in our environment especially computer science and information technology fields which require network computing on large scale. Cloud com...