Timely and affordable computer-aided diagnosis of retinal diseases is pivotal in precluding
blindness. Accurate retinal vessel segmentation plays an important role in disease …

Retinal diseases can cause irreversible vision loss in both eyes if not diagnosed and treated
early. Since retinal diseases are so complicated, retinal imaging is likely to show two or …

Segmentation is an important task in a wide range of computer vision applications, including
medical image analysis. Recent years have seen an increase in the complexity of medical …

Early detection of skin cancer relies on precise segmentation of dermoscopic images of skin
lesions. However, this task is challenging due to the irregular shape of the lesion, the lack of …

This paper presents LUVS-Net, which is a lightweight convolutional network for retinal
vessel segmentation in fundus images that is designed for resource-constrained devices …

Accurate segmentation of skin lesions within dermoscopic images plays a crucial role in the
timely identification of skin cancer for computer-aided diagnosis on mobile platforms …

Deep learning has shown great potential for automated medical image segmentation to
improve the precision and speed of disease diagnostics. However, the task presents …

In computer-aided diagnosis tools employed for skin cancer treatment and early diagnosis,
skin lesion segmentation is important. However, achieving precise segmentation is …

In terms of speed and accuracy, the deep learning-based polyp segmentation method is
superior. It is essential for the early detection and treatment of colorectal cancer and has the …

Skin cancer holds the highest incidence rate among all cancers globally. The importance of
early detection cannot be overstated, as late-stage cases can be lethal. Classifying skin …