Modelling Deep Learning Neural Networks For Pneumonia Detection
Main Article Content
Abstract
A Contagious Disease Called Pneumonia Is The Single Largest Infectious Respiratory Disease That Is As Common As Cold. Pneumonia Is A Form Of An Acute Respiratory Infection That Affects The Lungs. The Lungs Of The Victim Are Filled With Pus And Fluid, Which Results In Painful Breathing And Also Reduces The Intake Of Oxygen. According To The World Health Organisation (Who), Pneumonia Accounts For 15% Of All Deaths Of Children Under 5 Years Old, Killing 808,694 Children In 2017. The Success Of The Deep Neural Networks In The Field Of Image Classification Has Aided Medical Professionals By Improving Their Decision Making. Convolutional Neural Networks, A Branch Of Deep Neural Networks Came Into The Spotlight Due To The Ability To Classify Diseases Based On Medical Images. In This Work, We Study The Application Of Cnn's In The Context Of Pneumonia Detection. We Tactically Determine The Optimal Architecture For Classifying The X-Ray Images To Indicate The Presence Of Pneumonia.
Downloads
Metrics
Article Details
Licensing
TURCOMAT publishes articles under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This licensing allows for any use of the work, provided the original author(s) and source are credited, thereby facilitating the free exchange and use of research for the advancement of knowledge.
Detailed Licensing Terms
Attribution (BY): Users must give appropriate credit, provide a link to the license, and indicate if changes were made. Users may do so in any reasonable manner, but not in any way that suggests the licensor endorses them or their use.
No Additional Restrictions: Users may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
