[HTML][HTML] Reconstructing microvascular network skeletons from 3D images: What is the ground truth?

CL Walsh, M Berg, H West, NA Holroyd… - Computers in Biology …, 2024 - Elsevier
Structural changes to microvascular networks are increasingly highlighted as markers of
pathogenesis in a wide range of disease, eg Alzheimer's disease, vascular dementia and …

Hardware implementation of digital image skeletonization algorithm using FPGA for computer vision applications

PS Rao, K Yedukondalu - Journal of Visual Communication and Image …, 2019 - Elsevier
Nowadays embedded multimedia devices are designed for computationally intensive
applications such as image processing in various multimedia systems. Image processing …

Identification and measurement of individual roots in minirhizotron images of dense root systems

A Gillert, B Peters, UF von Lukas… - Proceedings of the …, 2021 - openaccess.thecvf.com
Semantic segmentation networks are prone to oversegmentation in areas where objects are
tightly clustered. In minirhizotron images with densely packed plant root systems this can …

Automated Coronary Vessels Segmentation in X-ray Angiography Using Graph Attention Network

H He, A Banerjee, RP Choudhury, V Grau - International Workshop on …, 2023 - Springer
Accurate coronary vessels segmentation from invasive coronary angiography (ICA) is
essential for diagnosis and treatment planning for patients with coronary stenosis. Current …

From digital to computational pathology for biomarker discovery

DFG Obando - 2019 - theses.hal.science
Histopathology aims to analyze images of biological tissues to assess the pathologi¬ cal
condition of an organ and to provide a diagnosis. The advent of high-resolution slide …

Measurements of retinal microvasculature in mice and humans with deep learning

W Deng - 2018 - search.proquest.com
Retinal microvascular changes can occur in retinal diseases including glaucoma, diabetic
retinopathies (DR), and radiation retinopathies (RR). For instance, some of these diseases …