Semantic segmentation has been widely used in precision agriculture, such as weed
detection, which is pivotal to increasing crop yields. Various well-established and swiftly …

Breast cancer is a significant health concern for women, emphasizing the need for early
detection. This research focuses on develo** a computer system for asymmetry detection …

The escalating global incidence of cancer poses significant health challenges, underscoring
the need for innovative and more efficacious treatments. Cancer immunotherapy, a …

Eye health has become a significant concern in recent years, given the rising prevalence of
visual impairment resulting from various eye disorders and related factors. Global surveys …

The growing need for effective object detection models on mobile devices makes it essential
to design models that are both accurate and have fewer parameters. In this paper, we …

Retinal vessel segmentation remains a challenging task due to the myriad morphological
characteristics of the retinal vessel and the complexity of the retinal background. To address …

A robust and efficient segmentation framework is essential for accurately detecting and
classifying various defects in electroluminescence images of solar PV modules. With the …

Retinal vascular images contain rich vascular geometric features, so the accuracy of retinal
vascular segmentation is of great significance for the diagnosis of various eye diseases. In …

The automatic detection of cells in microscopy image sequences is a significant task in
biomedical research. However, routine microscopy images with cells, which are taken …

Glaucoma is a common and severe ocular disease that often leads to vision loss. The
information on the optic disc (OD) and blood vessels in fundus images can significantly aid …