Many eye-related diseases will lead to blindness or worse when it is lack of treatment in the
early stages of the disease. Retinal vessel is important for doctors to detect eye diseases …

针对眼底视网膜血管分割中血管边界难以精确识别以及血管与背景对比度低而难以分割的问题,
提出一种编码器-解码器结构的算法. 为了提高算法在血管边界的分割能力 …

Studies have shown some correlations between retinal vessel morphologies and multiple
systemic diseases. While this could pave the way to timely diagnosis of such diseases by …

Retinal vessel segmentation is fundamental for the automatic retinal image analysis and
ocular disease screening. This paper aims to learn a ground truth free feature aggregation …

The blood vessels present in retinal image help in diagnosis and prognosis of several
medical pathologies. Automated blood vessel segmentation removes huge amount of efforts …

Pose detection is one of the fundamental steps for the recognition of human actions. In this
paper we propose a novel trainable detector for recognizing human poses based on the …

According to a scientific study, eyes are the best predictors of numerous disorders including
glaucoma, diabetic retinopathy, hypertension, and stroke. An ophthalmologist can learn …

Vessel segmentation of retinal images is a key diagnostic capability in ophthalmology. Early
approaches addressing this problem employed hand-crafted filters to capture vessel …

Early diagnosis is fundamental for ophthalmic diseases which may cause deterioration of
the human vision system, such as hypertension, glaucoma, and diabetic retinopathy …

How to apply machine learning to retinal vessel segmentation effectively has become a
trend, however, choosing what kind of features for the blood vessels is still a problem. In this …