AI Approach for Enhanced Thalassemia Diagnosis Using Blood Smear Images...20th International Conference on Wearable Micro and Nano Technologies for Personalized Health - pHealth 2024, May 27-29, 2024, Rende, Italy.
This paper aims to propose an approach leveraging Artificial Intelligence (AI) to diagnose thalassemia through medical imaging. The idea is to employ a U-net neural network architecture for precise erythrocyte morphology detection and classification in thalassemia diagnosis. This accomplishment was...
| Publicado en: | Studies in Health Technology & Informatics Vol. 314; pp. 123 - 125 |
|---|---|
| Autores principales: | , , , , |
| Formato: | proceedings research Journal Article |
| Publicado: |
Sage Publications Inc.
2024
|
| Acceso en línea: | Ver este registro en EBSCOhost |
| Sumario: | This paper aims to propose an approach leveraging Artificial Intelligence (AI) to diagnose thalassemia through medical imaging. The idea is to employ a U-net neural network architecture for precise erythrocyte morphology detection and classification in thalassemia diagnosis. This accomplishment was realized by developing and assessing a supervised semantic segmentation model of blood smear images, coupled with the deployment of various data engineering techniques. This methodology enables new applications in tailored medical interventions and contributes to the evolution of AI within precision healthcare, establishing new benchmarks in personalized treatment planning and disease management. |
|---|