Resource Constrained U-Net for Extraction of Retinal Vascular Trees
This paper demonstrates the efficacy of a modified U-Net structure for the extraction of vascular tree masks for human fundus photographs. On limited compute resources and training data, the proposed model only slightly underperforms when compared to state of the art methods.
Code (0)
등록된 구현이 없습니다.
Methods 이 논문이 사용한 방법론
Similar Papers 제목 키워드 기반
A Bayesian Framework For the Local Configuration of Retinal Junctions
Retinal images contain forests of mutually intersecting and overlapping venous and arterial vascular trees. The geometry of these trees shows adaptation to vascular diseases including diabetes, stroke and hypertension. S…
SegmentationRobust semi-automatic vessel tracing in the human retinal image by an instance segmentation neural network
The morphology and hierarchy of the vascular systems are essential for perfusion in supporting metabolism. In human retina, one of the most energy-demanding organs, retinal circulation nourishes the entire inner retina b…
Instance SegmentationMorphological AnalysisSemantic SegmentationSpecificitySimultaneous segmentation and classification of the retinal arteries and veins from color fundus images
The study of the retinal vasculature is a fundamental stage in the screening and diagnosis of many diseases. A complete retinal vascular analysis requires to segment and classify the blood vessels of the retina into arte…
ClassificationSegmentationSemantic Segmentationretinalysis-vascx: An explainable software toolbox for the extraction of retinal vascular biomarkers
Automatic extraction of retinal vascular biomarkers from color fundus images (CFI) is crucial for large-scale studies of the retinal vasculature. We present VascX, an open-source Python toolbox that extracts biomarkers f…
Computational EfficiencyA Thickness Sensitive Vessel Extraction Framework for Retinal and Conjunctival Vascular Tortuosity Analysis
Systemic diseases such as diabetes, hypertension, atherosclerosis are among the leading causes of annual human mortality rate. It is suggested that retinal and conjunctival vascular tortuosity is a potential biomarker fo…
ARC