Diabetic Retinopathy is a retina disease caused by diabetes mellitus and it is the leading
cause of blindness globally. Early detection and treatment are necessary in order to delay or …

Diabetic retinopathy (DR) is the leading cause of blindness among people of working age.
Fundus lesions are clinical signs of DR, and their recognition and delineation are important …

The Rhizotrons method is an important means of detecting dynamic growth and
development phenotypes of plant roots. However, the segmentation of root images is a …

Hard exudate plays an important role in grading diabetic retinopathy (DR) as a critical
indicator. Therefore, the accurate segmentation of hard exudates is of clinical importance …

Automated segmentation of hard exudates in colour fundus images is a challenge task due
to issues of extreme class imbalance and enormous size variation. This paper aims to tackle …

Fundus is the only structure that can be observed without trauma to the human body. By
analyzing color fundus images, the diagnosis basis for various diseases can be obtained …

Hard exudates (HE) is the most specific biomarker for retina edema. Precise HE
segmentation is vital for disease diagnosis and treatment, but automatic segmentation is …

Lesions segmentation of fundus images play a crucial role in the field of diagnosing diabetic
retinopath. However, their performance has consistently been hindered by challenges …

In order to predict the amount of bleeding in the cesarean section of the patients with
Pernicious Placenta Previa (PPP), this study proposed an automatic blood loss prediction …

Automated segmentation of diabetic retinopathy (DR) lesions is crucial for assessing DR
severity and diagnosis. Most previous segmentation methods overlook the detrimental …