Computer vision research in detecting and classifying the subtype Acute Lymphoblastic
Leukemia (ALL) has contributed to computer-aided diagnosis with improved accuracy …

Blood is made up of leukocytes (WBCs), erythrocytes (RBCs), and thrombocytes. The ratio of
blood cancer diseases is increasing rapidly, among which leukemia is one of the famous …

Image segmentation is a prerequisite for image processing. There are many methods for
image segmentation, and as a result, a great number of methods for evaluating …

In healthcare, medical practitioners employ various imaging techniques such as CT, X-ray,
PET, and MRI to diagnose patients, emphasizing the crucial need for early disease detection …

Periodontal diseases, ranging from gingivitis to periodontitis, are prevalent oral diseases
affecting over 50% of the global population. These diseases arise from infections and …

Cell tracking and motility analysis are essential for understanding multicellular processes,
automated quantification in biomedical experiments, and medical diagnosis and treatment …

Accurate segmentation and tracking of cells in microscopy image sequences is extremely
beneficial in clinical diagnostic applications and biomedical research. A continuing …

Medical image segmentation has long been a compelling and fundamental problem in the
realm of neuroscience. This is an extremely challenging task due to the intensely interfering …

Background Microscopic examination of human blood samples is an excellent opportunity to
assess general health status and diagnose diseases. Conventional blood tests are …

For the problems of blurred edges, uneven background distribution, and many noise
interferences in medical image segmentation, we proposed a medical image segmentation …