[HTML][HTML] The multiscale bowler-hat transform for blood vessel enhancement in retinal images
Enhancement, followed by segmentation, quantification and modelling of blood vessels in
retinal images plays an essential role in computer-aided retinopathy diagnosis. In this paper …
retinal images plays an essential role in computer-aided retinopathy diagnosis. In this paper …
Mapping Antarctic crevasses and their evolution with deep learning applied to satellite radar imagery
The fracturing of glaciers and ice shelves in Antarctica influences their dynamics, and may
introduce as-yet poorly understood feedbacks and hysteresis into the ice sheet system …
introduce as-yet poorly understood feedbacks and hysteresis into the ice sheet system …
Training liver vessel segmentation deep neural networks on noisy labels from contrast CT imaging
Liver vessel segmentation from contrast CT images is critical in liver surgical planning and
navigation. Due to the complex vessel systems, manual segmentation of liver vessel is …
navigation. Due to the complex vessel systems, manual segmentation of liver vessel is …
[PDF][PDF] Generation of self-assembled vascularized human skin equivalents
MM Sanchez, JT Morgan - J. Vis. Exp, 2021 - academia.edu
Human skin equivalents (HSEs) are tissue engineered constructs that model epidermal and
dermal components of human skin. These models have been used to study skin …
dermal components of human skin. These models have been used to study skin …
Automatic quantitative analysis of pulmonary vascular morphology in CT images
Purpose Vascular remodeling is a significant pathological feature of various pulmonary
diseases, which may be assessed by quantitative computed tomography (CT) imaging. The …
diseases, which may be assessed by quantitative computed tomography (CT) imaging. The …
NeuRegenerate: A framework for visualizing neurodegeneration
S Boorboor, S Mathew, M Ananth… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Recent advances in high-resolution microscopy have allowed scientists to better understand
the underlying brain connectivity. However, due to the limitation that biological specimens …
the underlying brain connectivity. However, due to the limitation that biological specimens …
Chest X-ray enhancement to interpret pneumonia malformation based on fuzzy soft set and Dempster–Shafer theory of evidence
Image enhancement algorithms are commonly used to increase the contrast and visual
quality of low-dose x-ray images. This paper proposes an automated enhancement method …
quality of low-dose x-ray images. This paper proposes an automated enhancement method …
The use of fourier phase symmetry for thin vessel detection in retinal fundus images
Fundus examination is a non-invasive procedure of observing changes in retinal
vasculature linked with the identification and progression of certain ocular diseases …
vasculature linked with the identification and progression of certain ocular diseases …
Applications and challenges of machine learning to enable realistic cellular simulations
In this perspective, we examine three key aspects of an end-to-end pipeline for realistic
cellular simulations: reconstruction and segmentation of cellular structures; generation of …
cellular simulations: reconstruction and segmentation of cellular structures; generation of …
Quality inspection of translucent and micro-structured functional surfaces
Micro-structured films with surface riblets are used to reduce aerodynamic drag. This is
especially relevant on fast and large objects such as on aircraft wings, where they are …
especially relevant on fast and large objects such as on aircraft wings, where they are …