Talk · International Conference on Computing, Communication and Networking Technologies · July 6, 2023

Detection of Pneumonia in Chest X-Ray Using Ensemble Learners and Transfer Learning with Deep Learning Models

Hemanth Bysani, Shubham Garg, Aashritha Danda, Tripty Singh, C. Jyotsna, Prakash Duraisamy

Abstract

A commonly implemented imaging method used for detecting/diagnosing pneumonia is chest X-ray images, but interpreting these images can be extremely complicated requiring advanced skill sets. In this document, we introduce an innovative approach using ensemble learning which combines several pre-trained Deep Learning models' strengths with advanced transfer learning techniques aimed at enhancing lung infection detection through deep-learning predictive capacity utilization. We evaluated our methodology using publicly available datasets containing numerous X-ray scans resulting in optimally accurate predictions that could have substantial implications concerning medical practice improvement efficiency-wise when diagnosing patients exhibiting symptoms matching those indicative of pneumonic infections, thus allowing us to proceed forward successfully implementing more streamlined protocols going onward into future clinical settings.

COVID-19 diagnosis using AIRadiomics and Machine Learning in Medical ImagingPneumonia and Respiratory Infectionspneumonia detectionchest radiographyensemble learning

Detection of Pneumonia in Chest X-Ray Using Ensemble Learners and Transfer Learning with Deep Learning Models

Abstract

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