Image Analysis Using Machine Learning for Automated Detection of Hemoglobin H Inclusions in Blood Smears - A Method for Morphologic Detection of Rare Cells

• Egile Nagusiak: Shir Ying Lee (Egilea), Crystal M E Chen (Egilea), Elaine Y P Lim (Egilea), Liang Shen (Egilea), Aneesh Sathe (Egilea), Aahan Singh (Egilea), Jan Sauer (Egilea), Kaveh Taghipour (Egilea), Christina Y C Yip (Egilea)
• Formatua: Liburua
• Argitaratua: Elsevier, 2021-01-01T00:00:00Z.
• Gaiak: article
• Sarrera elektronikoa: Connect to this object online.

Background: Morphologic rare cell detection is a laborious, operator-dependent process which has the potential to be improved by the use of image analysis using artificial intelligence. Detection of rare hemoglobin H (HbH) inclusions in red cells in the peripheral blood is a common screening method...