Transfer Learning with Deep Convolutional Neural Network (CNN) for Pneumonia Detection Using Chest X-ray
importance 6/10
ai assisted
COVID-19 diagnosis using AI pneumonia diagnostics stage: research
Problem
Automatically detecting bacterial and viral pneumonia from digital chest X-ray images for early diagnosis.
Why it matters
Pneumonia is life-threatening if not diagnosed and treated at the right time.
What the AI did
Four pre-trained deep CNNs were fine-tuned via transfer learning on 5247 chest X-ray images to classify normal, bacterial and viral pneumonia cases.
Results
not stated in source
Impact
The study demonstrates transfer-learning pneumonia classification across three schemes, but the abstract gives no accuracy figures.
Record
| Venue | Applied Sciences |
|---|---|
| Published | 2020 |
| Work type | article |
| Authors | Tawsifur Rahman, Muhammad E. H. Chowdhury, Amith Abdullah Khandakar, Khandaker Reajul Islam, Khandaker Farzana Islam, Zaid Bin Mahbub, Muhammad Abdul Kadir, Saad Bin Abul Kashem |
| Citations | 638 (OpenAlex, at import time) |
| References | 53 |
| Model or method | AlexNet, ResNet18, DenseNet201, SqueezeNet |
| Organization | not stated in source |
| Primary source | https://doi.org/10.3390/app10093233 |
| Open access | gold |
| Keywords | pneumonia, chest X-ray, transfer learning, CNN, classification, deep learning |
Importance rating
6
significant — thousands to millions affected
Pneumonia is life-threatening without timely diagnosis; automated X-ray detection could speed diagnosis and screening, but abstract gives no morbidity/mortality scale.