Computational methods for liver vessel segmentation in medical imaging: A review
M Ciecholewski, M Kassjański - Sensors, 2021 - mdpi.com
The segmentation of liver blood vessels is of major importance as it is essential for
formulating diagnoses, planning and delivering treatments, as well as evaluating the results …
formulating diagnoses, planning and delivering treatments, as well as evaluating the results …
Techniques and algorithms for hepatic vessel skeletonization in medical images: A survey
Hepatic vessel skeletonization serves as an important means of hepatic vascular analysis
and vessel segmentation. This paper presents a survey of techniques and algorithms for …
and vessel segmentation. This paper presents a survey of techniques and algorithms for …
Quantitative analysis of vascular properties derived from ultrafast DCE‐MRI to discriminate malignant and benign breast tumors
Purpose We propose a novel methodology to integrate morphological and functional
information of tumor‐associated vessels to assist in the diagnosis of suspicious breast …
information of tumor‐associated vessels to assist in the diagnosis of suspicious breast …
Convolutional neural network ensemble segmentation with ratio-based sampling for the arteries and veins in abdominal CT scans
Objective: Three-dimensional (3D) blood vessel structure information is important for
diagnosis and treatment in various clinical scenarios. We present a fully automatic method …
diagnosis and treatment in various clinical scenarios. We present a fully automatic method …
Balancing the data term of graph-cuts algorithm to improve segmentation of hepatic vascular structures
Purpose The accurate delineation of hepatic vessels is important to diagnosis and treatment
planning. To improve the segmentation of these vessels and extract small structures, we …
planning. To improve the segmentation of these vessels and extract small structures, we …
Suitability of DNN-based vessel segmentation for SIRT planning
Purpose The segmentation of the hepatic arteries (HA) is essential for state-of-the-art pre-
interventional planning of selective internal radiation therapy (SIRT), a treatment option for …
interventional planning of selective internal radiation therapy (SIRT), a treatment option for …
Hepatic artery segmentation with 3D convolutional neural networks
The segmentation of liver vessels is a crucial task for liver surgical planning. In selective
internal radiation therapy, a catheter has to be placed into the hepatic artery, injecting …
internal radiation therapy, a catheter has to be placed into the hepatic artery, injecting …
Improving deep learning based liver vessel segmentation using automated connectivity analysis
F Thielke, F Kock, A Hänsch, J Georgii… - Medical Imaging …, 2022 - spiedigitallibrary.org
Segmenting full vessel systems of the human liver is important for many applications in liver
surgery and intervention planning. While methods exist for training DNNs for vessel …
surgery and intervention planning. While methods exist for training DNNs for vessel …
Incorporating a locally estimated appearance model in the graphcuts algorithm to extract small hepatic vessels
In this paper, we incorporate a locally estimated appearance model to enrich the data term
of the graph-cuts algorithm. It balances between data term and smoothing terms in order to …
of the graph-cuts algorithm. It balances between data term and smoothing terms in order to …
Une combinaison de filtres de rehaussement des vaisseaux avec des architectures3D U-Net pour la segmentation des vaisseaux hépatiques
La segmentation des vaisseaux hépatiques est une tâche trés difficile en raison de la petite
taille et de la complexité du réseau vasculaire. Dans cet article, nous proposons une étude …
taille et de la complexité du réseau vasculaire. Dans cet article, nous proposons une étude …