Financial analysis serves as the cornerstone of decision-making processes within various
domains including businesses, investment firms, and regulatory bodies. As the financial …

Class incremental learning (CIL) enables deep networks to progressively learn new tasks
while remembering previously learned knowledge. A popular design for CIL involves …

One of the most effective approaches for identifying breast cancer is histology, which is the
meticulous inspection of tissues under a microscope. The kind of cancer cells, or whether …

Tuberculous meningitis (TBM) is not only one of the most fatal forms of tuberculosis, but also
a major public health concern worldwide, presenting grave clinical challenges due to its …

Medical image segmentation is crucial for the development of computer-aided diagnostic
and therapeutic systems, but still faces numerous difficulties. In recent years, the commonly …

Active contour models (ACMs) have been widely used in image segmentation to segment
objects. However, when it comes to segmenting images with severe intensity …

Facial wrinkles are important indicators of human aging. Recently, a method using deep
learning and a semi-automatic labeling was proposed to segment facial wrinkles, which …

Hemorrhagic stroke poses a critical medical emergency that necessitates prompt and
accurate diagnosis to prevent irreversible brain damage. The emergence of automated deep …

Brain tumor is one of the most aggressive cancers in the world, accurate brain tumor
segmentation plays a critical role in clinical diagnosis and treatment planning. Although …

Brain tumor segmentation is a key step in brain cancer diagnosis. Segmentation of brain
tumor sub-regions, including necrotic, enhancing, and edematous regions, can provide …