Abstract Diabetic Macular Edema (DME) is a potentially blinding consequence of Diabetic
Retinopathy (DR) as well as the leading cause of vision loss in diabetics. DME is …

While semantic segmentation has seen tremendous improvements in the past, there are still
significant labeling efforts necessary and the problem of limited generalization to classes …

Abstract The Train Rolling-Stock Examination (TRSE) is a safety examination process that
physically examines the bogie parts of a moving train, typically at speeds over 30 km/h …

Automatic segmentation of layered tissue is the key to optical coherence tomography (OCT)
image analysis for esophagus. While deep learning technology offers promising solutions to …

Ocular diseases can range in severity, with some being more serious than others. As a
matter of fact, there are several common and severe eye diseases, for instance, glaucoma …

The taxonomy and the characterized datasets serve as a basis for the selection of the
benchmark datasets. Therefore, we describe the taxonomy development in this section in …

Medical image segmentation is a crucial step for accurate diagnosis and treatment planning,
as it provides quantitative informa-tion about anatomical structures and pathological lesions …

In medical imaging, accurate and efficient segmentation is crucial for diagnostics, treatment
planning, and monitoring disease progression. Traditional methods, while capable of …