Automated Lung Nodule Detection and Classification Using Deep Learning Combined with Multiple Strategies
Published 2019 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Automated Lung Nodule Detection and Classification Using Deep Learning Combined with Multiple Strategies
Authors
Keywords
-
Journal
SENSORS
Volume 19, Issue 17, Pages 3722
Publisher
MDPI AG
Online
2019-08-28
DOI
10.3390/s19173722
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Assessment of Plasma Proteomics Biomarker’s Ability to Distinguish Benign From Malignant Lung Nodules
- (2018) Gerard A. Silvestri et al. CHEST
- Computer-Assisted Decision Support System in Pulmonary Cancer detection and stage classification on CT images
- (2018) Anum Masood et al. JOURNAL OF BIOMEDICAL INFORMATICS
- Cancer molecular markers: A guide to cancer detection and management
- (2018) Meera Nair et al. SEMINARS IN CANCER BIOLOGY
- An Automatic Detection System of Lung Nodule Based on Multigroup Patch-Based Deep Learning Network
- (2018) Hongyang Jiang et al. IEEE Journal of Biomedical and Health Informatics
- Automatic lung nodule detection using a 3D deep convolutional neural network combined with a multi-scale prediction strategy in chest CTs
- (2018) Yu Gu et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Assessment of Seven Clinical Tumor Markers in Diagnosis of Non-Small-Cell Lung Cancer
- (2018) Zhong-qing Chen et al. DISEASE MARKERS
- Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
- (2017) Shaoqing Ren et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- 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
- Multi-crop Convolutional Neural Networks for lung nodule malignancy suspiciousness classification
- (2017) Wei Shen et al. PATTERN RECOGNITION
- Guidelines for Management of Incidental Pulmonary Nodules Detected on CT Images: From the Fleischner Society 2017
- (2017) Heber MacMahon et al. RADIOLOGY
- Current and Prospective Protein Biomarkers of Lung Cancer
- (2017) Tatiana Zamay et al. Cancers
- Computer-aided detection of lung nodules using outer surface features
- (2015) Önder Demir et al. BIO-MEDICAL MATERIALS AND ENGINEERING
- Diagnostic value of CEA and CYFRA 21-1 tumor markers in primary lung cancer
- (2013) Kyoko Okamura et al. LUNG CANCER
- Impact of a Computer-Aided Detection (CAD) System Integrated into a Picture Archiving and Communication System (PACS) on Reader Sensitivity and Efficiency for the Detection of Lung Nodules in Thoracic CT Exams
- (2012) Luca Bogoni 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
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started