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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | Detection of Pneumonia In Chest X-ray Using Inception Google Net Classification |
| Authors Name: | Vasumathi PL , Sudha K |
| Unique Id: | IJSDR2207050 |
| Published In: | Volume 7 Issue 7, July-2022 |
| Abstract: | The most vital organ in any living is the lung, which is responsible for the continues breathing and respiration. Pneumonia in a patient leads to the rapid development of pus in a person’s lungs caused by various factors especially most common respiratory viruses, which could lead to severe fatigue. It is very clear from the various campaigns and studies conducted by several agencies pneumonia is found to span from the young to the elderly, it is commonly attributed to lack of hygiene. The most usual method used by medical practices is utilizing the chest Xray scans for the purpose of medical diagnosis of pneumonia in a patient. This practice does not give accurate diagnosis since a patient would need to consult a doctor. There are several cases of clinical errors leading to false diagnosis of the disease, leading to life threatening situations. In this research, we have developed a system leveraging the deep learning architecture, inception googlenet to efficiently perform diagnosis using the chest X-rays s |
| Keywords: | Lung abnormality, Pneumonia disease, Deep Learning, Convolutional Neural Network, Inception Google net. |
| Cite Article: | "Detection of Pneumonia In Chest X-ray Using Inception Google Net Classification", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.7, Issue 7, page no.364 - 371, July-2022, Available :http://www.ijsdr.org/papers/IJSDR2207050.pdf |
| Downloads: | 000337075 |
| Publication Details: | Published Paper ID: IJSDR2207050 Registration ID:200923 Published In: Volume 7 Issue 7, July-2022 DOI (Digital Object Identifier): Page No: 364 - 371 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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