Results 101 to 110 of about 1,217,238 (259)
Lung Nodule Detection in CT Images using Neuro Fuzzy Classifier [PDF]
Automated lung cancer detection using computer aided diagnosis (CAD) is an important area in clinical applications. As the manual nodule detection is very time consuming and costly so computerized systems can be helpful for this purpose.
Tariq, Anam; National University of sciences & Technology +1 more
core +1 more source
Secretopathies emerge as a new class of neurocristopathies
Abstract Neural crest cells are a transient embryonic population of cells that give rise to a wide range of structures, including craniofacial cartilage and bone, peripheral neurons and glia, as well as components of the cardiac outflow tract, among others.
Amanda Teixeira +3 more
wiley +1 more source
Lung cancer is a leading cause of cancer-related deaths. Computer-aided detection (CAD) has emerged as a valuable tool to assist radiologists in the automated detection and segmentation of pulmonary nodules using Computed Tomography (CT) scans ...
Shabnam Ghasemi +3 more
doaj +1 more source
The Human Biomarker Navigator integrates the disease continuum, biomarker dynamics, cross‐organ biomarker networks, biomarker classification, and technology‐driven paradigms. It maps how biomarkers link multi‐system physiology and pathology across the nervous, respiratory, endocrine, circulatory, immune, digestive, urinary, reproductive, and ...
Meng‐Yao Li +29 more
wiley +1 more source
End-to-End Fully Automated Lung Cancer Screening System
The computer aided diagnosis of lung cancer is majorly focused on detection and segmentation with very less work reported on volume estimation and grading of cancerous nodule.
Pushkar Sathe +3 more
doaj +1 more source
Lung Nodules Detection and Segmentation Using 3D Mask-RCNN
MIDL 2019 [arXiv:1907.08612]
Evi Kopelowitz, Guy Engelhard
openaire +3 more sources
A Review of Image Segmentation Methods for Lung Nodule Detection Based on Computed Tomography Images
The detection and segmentation of lung nodules based on computer tomography images (CT) is a basic and significant step to achieve the robotic needle biopsy.
Li Zheng, Yiran Lei
core +2 more sources
Mapping the Landscape of Over‐Scanning in CT Imaging: A Scoping Review
Over‐scanning in CT is highly prevalent and contributes to unnecessary radiation exposure, with notable impact on radiosensitive organs. Standardised protocols and AI‐assisted planning show strong potential to optimise scan range and reduce excess dose.
Mo'men Bani‐Ahmad +5 more
wiley +1 more source
Patient Centring in CT: An International Survey of Clinical Practice and Future Directions
An international survey of 321 radiographers from 43 countries found vertical mis‐centring below the CT isocentre is the most frequent positioning error. Only 34% had access to automated centring systems and 17% used them consistently. Substantial knowledge gaps exist regarding radiation dose and CT number variability, highlighting the need for ...
Yasser H. Hadi +9 more
wiley +1 more source
ABSTRACT Introduction In liver transplantation (LT) with a caval sparing (CS) approach, the presence of complete encirclement of inferior vena cava (IVC‐E) by hypertrophic segment 1 increases the technical complexity of hepatectomy. Thus, in LT for hepatocellular carcinoma (HCC), It may be suspected that the resulting greater liver manipulation and ...
Riccardo Pravisani +9 more
wiley +1 more source

