Blood vessel segmentation algorithms—review of methods, datasets and evaluation metrics
Background Blood vessel segmentation is a topic of high interest in medical image analysis
since the analysis of vessels is crucial for diagnosis, treatment planning and execution, and …
since the analysis of vessels is crucial for diagnosis, treatment planning and execution, and …
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 …
Liver, kidney and spleen segmentation from CT scans and MRI with deep learning: A survey
Deep Learning approaches for automatic segmentation of organs from CT scans and MRI
are providing promising results, leading towards a revolution in the radiologists' workflow …
are providing promising results, leading towards a revolution in the radiologists' workflow …
OPBS-SSHC: outline preservation based segmentation and search based hybrid classification techniques for liver tumor detection
B Sakthisaravanan, R Meenakshi - Multimedia tools and applications, 2020 - Springer
Cancer in Liver is the one among all other types of cancer which causes death of
carcinogenic victim people throughout the world. GLOBOCAN12 was an initiative for …
carcinogenic victim people throughout the world. GLOBOCAN12 was an initiative for …
Automatic liver vessel segmentation using 3D region growing and hybrid active contour model
Y Zeng, S Liao, P Tang, Y Zhao, M Liao, Y Chen… - Computers in biology …, 2018 - Elsevier
This paper proposes a new automatic method for liver vessel segmentation by exploiting
intensity and shape constraints of 3D vessels. The core of the proposed method is to apply …
intensity and shape constraints of 3D vessels. The core of the proposed method is to apply …
Automated identification and grading of coronary artery stenoses with X-ray angiography
Background and Objective X-ray coronary angiography (XCA) remains the gold standard
imaging technique for the diagnosis and treatment of cardiovascular disease. Automatic …
imaging technique for the diagnosis and treatment of cardiovascular disease. Automatic …
TransFusionNet: Semantic and spatial features fusion framework for liver tumor and vessel segmentation under JetsonTX2
X Wang, X Zhang, G Wang, Y Zhang… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
Liver cancer is one of the most common malignant diseases worldwide. Segmentation and
reconstruction of liver tumors and vessels in CT images can provide convenience for …
reconstruction of liver tumors and vessels in CT images can provide convenience for …
Modified GAN-cAED to minimize risk of unintentional liver major vessels cutting by controlled segmentation using CTA/SPET-CT
This article substantially advances upon state-of-the-art to enhance liver vessels
segmentation accuracy by leveraging advantages of synthetic PET-CT (SPET-CT) images in …
segmentation accuracy by leveraging advantages of synthetic PET-CT (SPET-CT) images in …
Portal vein and hepatic vein segmentation in multi-phase MR images using flow-guided change detection
Segmenting portal vein (PV) and hepatic vein (HV) from magnetic resonance imaging (MRI)
scans is important for hepatic tumor surgery. Compared with single phase-based methods …
scans is important for hepatic tumor surgery. Compared with single phase-based methods …
An improved fuzzy connectedness method for automatic three‐dimensional liver vessel segmentation in CT images
In this paper, an improved fuzzy connectedness (FC) method was proposed for automatic
three‐dimensional (3D) liver vessel segmentation in computed tomography (CT) images …
three‐dimensional (3D) liver vessel segmentation in computed tomography (CT) images …