About this document
AI Innovations in Sickle Cell Diagnosis by agrosetuorganics is a document available to read on EtoBox.
The document reviews recent advancements in artificial intelligence for the detection and diagnosis of sickle cell disease, highlighting the limitations of traditional blood analysis methods. It discusses innovative AI techniques such as medical image segmentation and machine learning algorithms that can improve detection efficiency, especially in developing countries. The paper also addresses challenges in processing microscopic images and suggests future research directions in this field.
- Author
- agrosetuorganics
- Language
- EN