Diagnosis of Pneumonia from Chest X-Ray Images Using Deep Learning
importance 4/10
ai assisted
COVID-19 diagnosis using AI medical imaging stage: research
Problem
Pneumonia diagnosis from chest X-rays is subjective and can be confused with other diseases.
Why it matters
Early, accurate pneumonia diagnosis improves treatment success.
What the AI did
Two pretrained CNNs (VGG16, Xception) with transfer learning and fine-tuning were trained to diagnose pneumonia from chest X-rays.
Results
VGG16 accuracy 0.87 versus Xception 0.82 (abstract writes '0.87%, 0.82%'); Xception better at detecting pneumonia cases.
Impact
Prototype computer-aided diagnosis on one dataset; no clinical or external validation stated.
Record
| Published | 2019 |
|---|---|
| Work type | conference-paper |
| Authors | Enes Ayan, Halil Murat Ünver |
| Citations | 410 (OpenAlex, at import time) |
| References | 34 |
| Model or method | VGG16, Xception (transfer learning) |
| Organization | not stated in source |
| Primary source | https://doi.org/10.1109/ebbt.2019.8741582 |
| Open access | closed |
| Keywords | pneumonia, chest X-ray, convolutional neural network, transfer learning, VGG16, Xception |
Importance rating
4
real but narrower advance
Prototype computer-aided pneumonia diagnosis on a single dataset; abstract states early diagnosis aids treatment but provides no scale, clinical, or external validation.