XAI4Malaria
Project status: UnknownReimplementation of the SPCNN model for malaria detection using blood smear images, with an extended comparative evaluation of explainability techniques (Grad-CAM, SHAP, LIME, etc.) in human-in-the-loop settings. Focused on user-centered validation with biologists and clinicians.
- Target software or hardware
- Work type
- Primary public repository
- github.com/cfusterbarcelo/xai4malaria
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About and scope
Reimplementation of the SPCNN model for malaria detection using blood smear images, with an extended comparative evaluation of explainability techniques (Grad-CAM, SHAP, LIME, etc.) in human-in-the-loop settings. Focused on user-centered validation with biologists and clinicians.
Contribution availability
Contribution policy unknown
- AI-assisted contribution policy
- Unspecified
Documented contributor systems
Contributor setup not documented
Reported progress
Progress not reported
Sources, builds and releases
- Open repository · github.comgithub.com/cfusterbarcelo/xai4malaria