Pneumonia Detection - Deep Learning Technique Using Chest X-Ray Images

The creation of reliable classification models using deep learning techniques is commonplace in many fields, including the very helpful one of medical diagnosis. Using datasets from the (RSNA), we suggested the CNN model (Convolutional Neural Network) in this research for the categorization of chest X-ray images. Furthermore, the research intends to investigate alternative methods from the previous years' protocols to attain the same RSNA benchmark results with the available computational resources constrained. The research also tries to optimize the use of limited computer resources by experimenting with different approaches from the methodologies that have been used in previous years, using the same RSNA benchmark of 0.32 without any changes to the hyperparameters. Still, the loss is getting smaller over time

Authors

Institutions

Publication Details

Published
2024-12-20
DOI
https://doi.org/10.1109/emergin63207.2024.10960895
Primary Topic
COVID-19 diagnosis using AI
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Pneumonia Detection - Deep Learning Technique Using Chest X-Ray Images

N Bala Sai Vijay Krishna, Niranjan Govind, Sribhashyam Sravya, R. Pavani et al.
COVID-19 diagnosis using AI
article

Pneumonia Detection - Deep Learning Technique Using Chest X-Ray Images

N Bala Sai Vijay Krishna, Niranjan Govind, Sribhashyam Sravya, R. Pavani, E Sai Hruthin
article en

Abstract

The creation of reliable classification models using deep learning techniques is commonplace in many fields, including the very helpful one of medical diagnosis. Using datasets from the (RSNA), we suggested the CNN model (Convolutional Neural Network) in this research for the categorization of chest X-ray images. Furthermore, the research intends to investigate alternative methods from the previous years' protocols to attain the same RSNA benchmark results with the available computational resources constrained. The research also tries to optimize the use of limited computer resources by experimenting with different approaches from the methodologies that have been used in previous years, using the same RSNA benchmark of 0.32 without any changes to the hyperparameters. Still, the loss is getting smaller over time

Kalasalingam Academy of Research and Education (IN)
Openalex Percentile: Top 56%
COVID-19 diagnosis using AI
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.