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 …
Comparing and combining algorithms for computer-aided detection of pulmonary nodules in computed tomography scans: the ANODE09 study
B Van Ginneken, SG Armato III, B de Hoop… - Medical image …, 2010 - Elsevier
Numerous publications and commercial systems are available that deal with automatic
detection of pulmonary nodules in thoracic computed tomography scans, but a comparative …
detection of pulmonary nodules in thoracic computed tomography scans, but a comparative …
A new computationally efficient CAD system for pulmonary nodule detection in CT imagery
T Messay, RC Hardie, SK Rogers - Medical image analysis, 2010 - Elsevier
Early detection of lung nodules is extremely important for the diagnosis and clinical
management of lung cancer. In this paper, a novel computer aided detection (CAD) system …
management of lung cancer. In this paper, a novel computer aided detection (CAD) system …
Computer-aided detection of pulmonary nodules: a comparative study using the public LIDC/IDRI database
Objectives To benchmark the performance of state-of-the-art computer-aided detection
(CAD) of pulmonary nodules using the largest publicly available annotated CT database …
(CAD) of pulmonary nodules using the largest publicly available annotated CT database …
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 …
Automatic pulmonary nodule detection applying deep learning or machine learning algorithms to the LIDC-IDRI database: a systematic review
LM Pehrson, MB Nielsen, C Ammitzbøl Lauridsen - Diagnostics, 2019 - mdpi.com
The aim of this study was to provide an overview of the literature available on machine
learning (ML) algorithms applied to the Lung Image Database Consortium Image Collection …
learning (ML) algorithms applied to the Lung Image Database Consortium Image Collection …
3D deep learning for detecting pulmonary nodules in CT scans
R Gruetzemacher, A Gupta… - Journal of the American …, 2018 - academic.oup.com
Objective To demonstrate and test the validity of a novel deep-learning-based system for the
automated detection of pulmonary nodules. Materials and Methods The proposed system …
automated detection of pulmonary nodules. Materials and Methods The proposed system …
Fast and fully-automated detection and segmentation of pulmonary nodules in thoracic CT scans using deep convolutional neural networks
Deep learning techniques have been extensively used in computerized pulmonary nodule
analysis in recent years. Many reported studies still utilized hybrid methods for diagnosis, in …
analysis in recent years. Many reported studies still utilized hybrid methods for diagnosis, in …
3-D convolutional neural networks for automatic detection of pulmonary nodules in chest CT
Deep two-dimensional (2-D) convolutional neural networks (CNNs) have been remarkably
successful in producing record-breaking results in a variety of computer vision tasks. It is …
successful in producing record-breaking results in a variety of computer vision tasks. It is …
Automatic detection of large pulmonary solid nodules in thoracic CT images
Purpose: Current computer‐aided detection (CAD) systems for pulmonary nodules in
computed tomography (CT) scans have a good performance for relatively small nodules, but …
computed tomography (CT) scans have a good performance for relatively small nodules, but …