Investigating blood cell images for enhanced hematologic disorder detection using multi-scale feature learning with a hybrid deep learning model.

ABSTRACT: Haematological diseases, also known as blood disorders, encompass a range of conditions that affect the blood and its components, including platelets, red blood cells, plasma, white blood cells, and the bone marrow. These illnesses can disrupt the normal function, production, or quantity of blood cells, leading to severe health problems. Standard types of haematological diseases include lymphoma, anaemia, multiple myeloma, leukaemia, thrombocytopenia, and haemophilia. Diagnosis typically involves blood tests and microscopic examinations of bone marrow or blood samples. At the same time, treatment varies according to the form and severity of the disease, often including chemotherapy, medication, or bone marrow transplantation. Screening for haematological disorders is crucial for their diag

SUBMITTER: Al Sadig M 

PROVIDER: S-EPMC12644525 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature