[HTML][HTML] Radiomics and artificial intelligence in lung cancer screening
F Binczyk, W Prazuch, P Bozek… - Translational lung cancer …, 2021 - ncbi.nlm.nih.gov
Lung cancer is responsible for more fatalities than any other cancer worldwide, with 1.76
million associated deaths reported in 2018. The key issue in the fight against this disease is …
million associated deaths reported in 2018. The key issue in the fight against this disease is …
Automatic 3D pulmonary nodule detection in CT images: a survey
This work presents a systematic review of techniques for the 3D automatic detection of
pulmonary nodules in computerized-tomography (CT) images. Its main goals are to analyze …
pulmonary nodules in computerized-tomography (CT) images. Its main goals are to analyze …
Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: the LUNA16 challenge
Automatic detection of pulmonary nodules in thoracic computed tomography (CT) scans has
been an active area of research for the last two decades. However, there have only been …
been an active area of research for the last two decades. However, there have only been …
Pulmonary nodule detection in CT images: false positive reduction using multi-view convolutional networks
We propose a novel Computer-Aided Detection (CAD) system for pulmonary nodules using
multi-view convolutional networks (ConvNets), for which discriminative features are …
multi-view convolutional networks (ConvNets), for which discriminative features are …
An automatic detection system of lung nodule based on multigroup patch-based deep learning network
High-efficiency lung nodule detection dramatically contributes to the risk assessment of lung
cancer. It is a significant and challenging task to quickly locate the exact positions of lung …
cancer. It is a significant and challenging task to quickly locate the exact positions of lung …
Computer-aided detection (CADe) and diagnosis (CADx) system for lung cancer with likelihood of malignancy
M Firmino, G Angelo, H Morais, MR Dantas… - Biomedical engineering …, 2016 - Springer
Abstract Background CADe and CADx systems for the detection and diagnosis of lung
cancer have been important areas of research in recent decades. However, these areas are …
cancer have been important areas of research in recent decades. However, these areas are …
Convolutional neural network-based PSO for lung nodule false positive reduction on CT images
GLF Da Silva, TLA Valente, AC Silva… - Computer methods and …, 2018 - Elsevier
Background and objective Detection of lung nodules is critical in CAD systems; this is
because of their similar contrast with other structures and low density, which result in the …
because of their similar contrast with other structures and low density, which result in the …
Mask R-CNN-based detection and segmentation for pulmonary nodule 3D visualization diagnosis
L Cai, T Long, Y Dai, Y Huang - Ieee Access, 2020 - ieeexplore.ieee.org
3D visualization diagnosis for pulmonary nodule detection and segmentation is becoming a
promising topic in the field of surgical researches and applications. Aiming at assisting …
promising topic in the field of surgical researches and applications. Aiming at assisting …
Automated pulmonary nodule detection based on three-dimensional shape-based feature descriptor
Computer-aided detection (CAD) can help radiologists to detect pulmonary nodules at an
early stage. In pulmonary nodule CAD systems, feature extraction is very important for …
early stage. In pulmonary nodule CAD systems, feature extraction is very important for …
Lung nodule detection from feature engineering to deep learning in thoracic CT images: a comprehensive review
This paper presents a systematic review of the literature focused on the lung nodule
detection in chest computed tomography (CT) images. Manual detection of lung nodules by …
detection in chest computed tomography (CT) images. Manual detection of lung nodules by …