Deep convolutional neural networks for multiplanar lung nodule detection: Improvement in small nodule identification
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Deep convolutional neural networks for multiplanar lung nodule detection: Improvement in small nodule identification
Authors
Keywords
-
Journal
MEDICAL PHYSICS
Volume -, Issue -, Pages -
Publisher
Wiley
Online
2020-12-11
DOI
10.1002/mp.14648
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Effect of Slab Thickness on the Detection of Pulmonary Nodules by Use of CT Maximum and Minimum Intensity Projection
- (2019) Wang-jia Li et al. AMERICAN JOURNAL OF ROENTGENOLOGY
- A CAD system for pulmonary nodule prediction based on deep three-dimensional convolutional neural networks and ensemble learning
- (2019) Wenkai Huang et al. PLoS One
- P2.03-07 Frequency of Driver Genes (EGFR, KRAS, BRAF, ALK, RET and ROS1) Alterations in Brazilian Patients with Lung Adenocarcinoma
- (2019) L. Campanha Novaes et al. Journal of Thoracic Oncology
- Automatic Pulmonary Nodule Detection in CT Scans Using Convolutional Neural Networks Based on Maximum Intensity Projection
- (2019) Sunyi Zheng et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- A 3D Probabilistic Deep Learning System for Detection and Diagnosis of Lung Cancer Using Low-Dose CT Scans
- (2019) Onur Ozdemir et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Transfer learning on fused multiparametric MR images for classifying histopathological subtypes of rhabdomyosarcoma
- (2018) Imon Banerjee et al. COMPUTERIZED MEDICAL IMAGING AND GRAPHICS
- OUP accepted manuscript
- (2018) JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
- Breast Cancer Diagnosis in Digital Breast Tomosynthesis: Effects of Training Sample Size on Multi-Stage Transfer Learning using Deep Neural Nets
- (2018) Ravi K. Samala et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- NODULe: Combining constrained multi-scale LoG filters with densely dilated 3D deep convolutional neural network for pulmonary nodule detection
- (2018) Junjie Zhang et al. NEUROCOMPUTING
- Expert knowledge-infused deep learning for automatic lung nodule detection
- (2018) Jiaxing Tan et al. Journal of X-Ray Science and Technology
- Automated pulmonary nodule detection in CT images using deep convolutional neural networks
- (2018) Hongtao Xie et al. PATTERN RECOGNITION
- Persisting new nodules in incidence rounds of the NELSON CT lung cancer screening study
- (2018) Joan E Walter et al. THORAX
- Multilevel Contextual 3-D CNNs for False Positive Reduction in Pulmonary Nodule Detection
- (2017) Qi Dou et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- European position statement on lung cancer screening
- (2017) Matthijs Oudkerk et al. LANCET ONCOLOGY
- Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge
- (2017) Arnaud Arindra Adiyoso Setio et al. MEDICAL IMAGE ANALYSIS
- Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
- (2016) Hoo-Chang Shin et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Low-Dose CT Screening for Lung Cancer: Computer-aided Detection of Missed Lung Cancers
- (2016) Mingzhu Liang et al. RADIOLOGY
- Lung nodule detection performance in five observers on computed tomography (CT) with adaptive iterative dose reduction using three-dimensional processing (AIDR 3D) in a Japanese multicenter study: Comparison between ultra-low-dose CT and low-dose CT by receiver-operating characteristic analysis
- (2015) Yukihiro Nagatani et al. EUROPEAN JOURNAL OF RADIOLOGY
- Computer-aided detection of pulmonary nodules: a comparative study using the public LIDC/IDRI database
- (2015) Colin Jacobs et al. EUROPEAN RADIOLOGY
- The Lung Reporting and Data System (LU-RADS): A Proposal for Computed Tomography Screening
- (2014) Daria Manos et al. CANADIAN ASSOCIATION OF RADIOLOGISTS JOURNAL-JOURNAL DE L ASSOCIATION CANADIENNE DES RADIOLOGISTES
- A comparison of axial versus coronal image viewing in computer-aided detection of lung nodules on CT
- (2014) Tae Iwasawa et al. JAPANESE JOURNAL OF RADIOLOGY
- A Fully Automatic Method for Lung Parenchyma Segmentation and Repairing
- (2012) Ying Wei et al. JOURNAL OF DIGITAL IMAGING
- The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): A Completed Reference Database of Lung Nodules on CT Scans
- (2011) Samuel G. Armato et al. MEDICAL PHYSICS
- Reduced Lung-Cancer Mortality with Low-Dose Computed Tomographic Screening
- (2011) NEW ENGLAND JOURNAL OF MEDICINE
- On Combining Computer-Aided Detection Systems
- (2010) Meindert Niemeijer et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Area under the Free-Response ROC Curve (FROC) and a Related Summary Index
- (2008) Andriy I. Bandos et al. BIOMETRICS
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now