Automatic medical image segmentation is a crucial topic in the medical domain and
successively a critical counterpart in the computer-aided diagnosis paradigm. U-Net is the …

The remarkable performance of the Transformer architecture in natural language processing
has recently also triggered broad interest in Computer Vision. Among other merits …

Recently, deep learning frameworks have rapidly become the main methodology for
analyzing medical images. Due to their powerful learning ability and advantages in dealing …

The advent of whole slide imaging has brought advanced computer-aided diagnosis via
medical imaging and artificial intelligence technologies in digital pathology. The …

Medical image segmentation involves identifying regions of interest in medical images. In
modern times, there is a great need to develop robust computer vision algorithms to perform …

Abstract Acute Lymphoblastic Leukemia (ALL) is a cancer of the blood cells which is
characterized by a large number of immature lymphocytes, known as blast cells …

Acute lymphoblastic leukemia (ALL) is the most common type of pediatric malignancy which
accounts for 25% of all pediatric cancers. It is a life‐threatening disease which if left …

The human visual cortex is biased towards shape components while CNNs produce texture
biased features. This fact may explain why the performance of CNN significantly degrades …

Leukemia is a kind of blood cancer that influences people of all ages and is one of the
leading causes of death worldwide. Acute lymphoblastic leukemia (ALL) is the most widely …

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 …