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 |
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| Autores principales: | , , , , |
| Formato: | proceedings research Journal Article |
| Publicado: |
Sage Publications Inc.
2024
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=177548709&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 177548709 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09269630 U1V jtl: Studies in Health Technology & Informatics issn: 09269630 maglogo: N pubinfo: dt: 2024 vid: 314 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 177548709 177548709 177548709 10.3233/SHTI240072 177548709 ppf: 123 ppct: 2 formats: tig: atl: 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. aug: au: MAZZUCA, Daniela BERGANTIN, Fulvio MACRÌ, Davide ZINNO, Francesco FORESTIERO, Agostino affil: Immunohaematology Section, Annunziata Hospital, Via F. Migliori, CS, Italy. sug: subj: Thalassemia Diagnosis Artificial Intelligence Utilization Image Enhancement Image Processing, Computer Assisted Human Deep Learning Individualized Medicine Neural Networks (Computer) Erythrocytes Pathology Thalassemia Classification Semantics Research Methodology Precision Disease Management Congresses and Conferences Italy Italy ab: 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. pubtype: Academic Journal doctype: proceedings research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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