Deep Learning for Malaria Diagnosis: Leveraging Convolutional Neural Networks for Accurate Parasite Detection
malaria is one of the most severe diseases worldwide. However, the current diagnostic method that involves examining blood smears under a microscope is unreliable and heavily relies on the examiner's expertise. Recent attempts to use deep-learning algorithms for malaria diagnosis have not prod...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
College of Education for Pure Sciences
2023-09-01
|
| Series: | Wasit Journal for Pure Sciences |
| Online Access: | https://wjps.uowasit.edu.iq/index.php/wjps/article/view/205 |