Artificial intelligence-powered tuberculosis detection with complementary domain attention model
Artificial intelligence-based X-ray image detection can significantly aid early tuberculosis (TB) detection. However, the varying distribution of X-ray image data across different hospitals has resulted in a decline in the model's performance when transitioning to a new dataset. Domain adaptati...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier B.V.
2025
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/120525/ http://psasir.upm.edu.my/id/eprint/120525/1/120525.pdf |