AI Medical Compendium Topic:
Liver Neoplasms

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Adaptive Estimation of Active Contour Parameters Using Convolutional Neural Networks and Texture Analysis.

IEEE transactions on medical imaging
In this paper, we propose a generalization of the level set segmentation approach by supplying a novel method for adaptive estimation of active contour parameters. The presented segmentation method is fully automatic once the lesion has been detected...

Laparoscopic Anatomical Segment 2 Segmentectomy by the Glissonian Approach.

Journal of laparoendoscopic & advanced surgical techniques. Part A
BACKGROUND: When hepatocellular carcinoma (HCC) was located in segment 2 (S2), segment-oriented hepatectomy was more beneficial than left lateral sectionectomy as this type of anatomical resection preserved the volume of the nontumor-bearing segment....

Tumor reference resolution and characteristic extraction in radiology reports for liver cancer stage prediction.

Journal of biomedical informatics
BACKGROUND: Anaphoric references occur ubiquitously in clinical narrative text. However, the problem, still very much an open challenge, is typically less aggressively focused on in clinical text domain applications. Furthermore, existing research on...

Automatic Liver Segmentation from CT Images Using Single-Block Linear Detection.

BioMed research international
Automatic liver segmentation not only plays an important role in the analysis of liver disease, but also reduces the cost and humanity's impact in segmentation. In addition, liver segmentation is a very challenging task due to countless anatomical va...

Liver Tumor Segmentation from MR Images Using 3D Fast Marching Algorithm and Single Hidden Layer Feedforward Neural Network.

BioMed research international
Objective. Our objective is to develop a computerized scheme for liver tumor segmentation in MR images. Materials and Methods. Our proposed scheme consists of four main stages. Firstly, the region of interest (ROI) image which contains the liver tumo...

Coating independent cytotoxicity of citrate- and PEG-coated silver nanoparticles on a human hepatoma cell line.

Journal of environmental sciences (China)
The antibacterial potential of silver nanoparticles (AgNPs) resulted in their increasing incorporation into consumer, industrial and biomedical products. Therefore, human and environmental exposure to AgNPs (either as an engineered product or a conta...

Robotic hepatectomies: advances and perspectives.

Minerva chirurgica
INTRODUCTION: Over recent years, minimally invasive hepatic resections have increasingly been reported in the literature. Even though hepatic surgery is still considered a challenge for surgeons due to its technical difficulties and high morbidity, t...

Clinical results of mean GTV dose optimized robotic guided SBRT for liver metastases.

Radiation oncology (London, England)
BACKGROUND: We retrospectively evaluated the efficacy and toxicity of gross tumor volume (GTV) mean-dose-optimized and real-time motion-compensated robotic stereotactic body radiation therapy (SBRT) in the treatment of liver metastases.

Integrative Analysis of Proteomic, Glycomic, and Metabolomic Data for Biomarker Discovery.

IEEE journal of biomedical and health informatics
Studies associating changes in the levels of multiple biomolecules including proteins, glycans, glycoproteins, and metabolites with the onset of cancer have been widely investigated to identify clinically relevant diagnostic biomarkers. Advances in l...

Metastatic liver tumour segmentation with a neural network-guided 3D deformable model.

Medical & biological engineering & computing
The segmentation of liver tumours in CT images is useful for the diagnosis and treatment of liver cancer. Furthermore, an accurate assessment of tumour volume aids in the diagnosis and evaluation of treatment response. Currently, segmentation is perf...