Pneumonia_Net Model: Deep Learning Based Intelligent System for Pneumonia Classification using Chest X-ray Images
Radiologists are faced with a challenging problem whenever they have to classify the anomalies shown on chest xrays. Because of this, throughout the course of the last few decades, computer aided diagnostic (CAD) systems have been created to extract meaningful information from X-rays in order to ass...
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| Veröffentlicht in: | NeuroQuantology 2022-01, Vol.20 (6), p.2913 |
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| container_issue | 6 |
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| creator | D Sreenivasa Rao Nair, S Anu H Thota Venkat Narayana Rao Kumar, K P Sanal |
| description | Radiologists are faced with a challenging problem whenever they have to classify the anomalies shown on chest xrays. Because of this, throughout the course of the last few decades, computer aided diagnostic (CAD) systems have been created to extract meaningful information from X-rays in order to assist medical professionals in gaining a quantitative understanding of an X-ray |
| doi_str_mv | 10.14704/nq.2022.20.6.NQ22291 |
| format | Article |
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| ispartof | NeuroQuantology, 2022-01, Vol.20 (6), p.2913 |
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| subjects | Anomalies Artificial intelligence Automation Deep learning Lung diseases Neural networks Pneumonia X-rays |
| title | Pneumonia_Net Model: Deep Learning Based Intelligent System for Pneumonia Classification using Chest X-ray Images |
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