Introduction. The early detection and diagnosis of leukemia, ie, the precise differentiation of
malignant leukocytes with minimum costs in the early stages of the disease, is a major …

Background Navigating the complexity of chronic myeloid leukemia (CML) diagnosis and
management poses significant challenges, including the need for accurate prediction of …

Background Conventional identification of blood disorders based on visual inspection of
blood smears through microscope is time consuming, error-prone and is limited by …

Acute lymphoblastic leukemia (ALL) is the most common form of leukemia that occurs in
children. Detection of ALL through white blood cell image analysis can help with the …

Convolutional neural networks (CNNs) represent a relatively new type of neural networks
but it has been already widely used for different image classification problems and have …

A deep learning network requires a large number of training data to optimize the complex
feature representation. However, it is hard to gather a lot of samples in certain cases due to …

Acute leukaemia, a malignancy that starts in the bone marrow, manifests as an unchecked,
fast spread of white blood cells. Acute lymphoblastic leukaemia is more common in young …

The emergence of constant sicknesses like COVID-19 has re-underlined the need for
residents all around the world to approach pressing healthcare. The recent pandemic has …

Blood cancer is one of the most dangerous diseases in kids because it spreads throughout
the body, damages healthy cells, and causes uncontrolled white blood cell growth. If it is not …