Advancements in Pneumonia Detection Using U-Net

The Abstract of this study is to apply U-Net, a deep learning-based convolutional neural network (CNN) architecture, designed for biomedical image segmentation tasks, to automate pneumonia detection within chest X-ray medical images.

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Publication Details

Journal
International Journal For Multidisciplinary Research
Published
2024-12-24
DOI
https://doi.org/10.36948/ijfmr.2024.v06i06.33779
Primary Topic
COVID-19 diagnosis using AI
Type
article
Field-Weighted Citation Impact
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article

Advancements in Pneumonia Detection Using U-Net

Hardhik Sai Palivela -, Aaditya Gawali -, Annie Uthra -
International Journal For Multidisciplinary Research
COVID-19 diagnosis using AI
article

Advancements in Pneumonia Detection Using U-Net

Hardhik Sai Palivela -, Aaditya Gawali -, Annie Uthra -
article en

Abstract

The Abstract of this study is to apply U-Net, a deep learning-based convolutional neural network (CNN) architecture, designed for biomedical image segmentation tasks, to automate pneumonia detection within chest X-ray medical images.

International Journal For Multidisciplinary ResearchVol. 6(6)
Openalex Percentile: Top 59%
COVID-19 diagnosis using AI
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Advancements in Pneumonia Detection Using U-Net — Hardhik Sai Palivela -, Aaditya Gawali -, et al. · International Journal For Multidisciplinary Research (2024) | TGRS Research Map | TGRS