Application of clinical bioinformatics in lung cancer-specific biomarkers
D Wu, X Wang - Cancer and Metastasis Reviews, 2015 - Springer
The fact that lung cancer is a heterogeneous disease suggests that there is a high likelihood
that effective lung cancer biomarkers will need to address patient-specific molecular defects …
that effective lung cancer biomarkers will need to address patient-specific molecular defects …
[HTML][HTML] Evaluation of localized region-based segmentation algorithms for CT-based delineation of organs at risk in radiotherapy
M Astaraki, M Severgnini, V Milan… - Physics and imaging in …, 2018 - Elsevier
Background and purpose In radiation therapy, defining the precise borders of cancerous
tissues and adjacent normal organs has a significant effect on the therapy outcome …
tissues and adjacent normal organs has a significant effect on the therapy outcome …
Geometrical modelling effects on FEA of colorectal surgery
The research reported in this paper applies an explicit non-linear FEA solver to simulate the
interaction between a clamp and a hyper-elastic material that aims to mimic the biological …
interaction between a clamp and a hyper-elastic material that aims to mimic the biological …
Texture enhanced Statistical Region Merging with application to automatic knee bones segmentation from CT
Statistical Region Merging technique belongs to the portfolio of very successful image
segmentation methods across diverse domains and applications. The method is based on a …
segmentation methods across diverse domains and applications. The method is based on a …
Image segmentation on adaptive edge-preserving smoothing
K He, D Wang, X Zheng - Journal of Electronic Imaging, 2016 - spiedigitallibrary.org
Nowadays, typical active contour models are widely applied in image segmentation.
However, they perform badly on real images with inhomogeneous subregions. In order to …
However, they perform badly on real images with inhomogeneous subregions. In order to …
Model-guided segmentation of liver in CT and PET-CT images of child patients based on statistical region merging
The paper introduces a novel model-guided method for liver segmentation in CT and PET-
CT images. Using a model liver volume as a template and a liver shape annotated in one of …
CT images. Using a model liver volume as a template and a liver shape annotated in one of …
Improving breast mass segmentation in local dense background: an entropy based optimization of statistical region merging method
In this paper, an optimization algorithm, utilizing a component measure of entropy, is
developed for automatically tuning segmentation of mammograms by the Statistical Region …
developed for automatically tuning segmentation of mammograms by the Statistical Region …
Nonlinear effects in finite elements analysis of colorectal surgical clamping
R Guachi - 2019 - iris.uniroma1.it
Abstract Minimal Invasive Surgery (MIS) is a procedure that has increased its applications in
past few years in different types of surgeries. As number of application fields are increasing …
past few years in different types of surgeries. As number of application fields are increasing …
On the sensitivity of the skull thickness for the SAR assessment in the intracanial tissues
CE Fernández-Rodríguez… - 2016 IEEE MTT-S Latin …, 2016 - ieeexplore.ieee.org
Specific absorption rate (SAR) simulation may be used to assess exposure levels, health
risk and compliance with recommendations of wireless devices EMF exposure limits. When …
risk and compliance with recommendations of wireless devices EMF exposure limits. When …
Computational Human Models in Cardiovascular Imaging: From Design to Generations
NM Salih, DEO Dewi - Cardiovascular Engineering: Technological …, 2020 - Springer
Computational human models have evolved into important tools in simulating various sets of
cardiovascular circumstances to support the understanding, diagnosis, and treatment of …
cardiovascular circumstances to support the understanding, diagnosis, and treatment of …