Back to search

Article

Explainable Artificial Intelligence in Malaria Parasite Detection from Microscopic Blood Smear Images: A Systematic Review

2026-06-04

Abstract excerpt

<title>Abstract</title> <p>Malaria is still a major cause of preventable mortality around the world, withapproximately 280 million cases and 600,000 deaths recorded in 2025. Microscopic examination of stained blood smears is the gold standard, however, its diagnostic accuracy is heavily operator-dependent. Deep learning systems have demonstrated high classification accuracy on this task; however, the skepticism o...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
1ca0c769-4918-5fd5-a8c7-60ef10619415
DOI
10.21203/rs.3.rs-9909534/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Explainable Artificial Intelligence in Malaria Parasite Detection from Microscopic Blood Smear Images: A Systematic ReviewDOI 10.21203/rs.3.rs-9909534/v1
Select a neighboring publication to make it the new centre.