相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。SANet: A Slice-Aware Network for Pulmonary Nodule Detection
Jie Mei et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2022)
MIXCAPS: A capsule network-based mixture of experts for lung nodule malignancy prediction
Parnian Afshar et al.
PATTERN RECOGNITION (2021)
Integrating Lung Parenchyma Segmentation and Nodule Detection With Deep Multi-Task Learning
Weihua Liu et al.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2021)
A manifold learning regularization approach to enhance 3D CT image-based lung nodule classification
Ying Ren et al.
INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY (2020)
Integration of convolutional neural networks for pulmonary nodule malignancy assessment in a lung cancer classification pipeline
Ilaria Bonavita et al.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2020)
A 3D Probabilistic Deep Learning System for Detection and Diagnosis of Lung Cancer Using Low-Dose CT Scans
Onur Ozdemir et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2020)
MD-NDNet: a multi-dimensional convolutional neural network for false-positive reduction in pulmonary nodule detection
Zhan Wu et al.
PHYSICS IN MEDICINE AND BIOLOGY (2020)
MSCS-DeepLN: Evaluating lung nodule malignancy using multi-scale cost-sensitive neural networks
Xiuyuan Xu et al.
MEDICAL IMAGE ANALYSIS (2020)
An adaptive morphology based segmentation technique for lung nodule detection in thoracic CT image
Amitava Halder et al.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2020)
Pulmonary nodule detection in CT scans with equivariant CNNs
Marysia Winkels et al.
MEDICAL IMAGE ANALYSIS (2019)
Lung nodule classification using deep Local-Global networks
Mundher Al-Shabi et al.
INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY (2019)
Evaluate the Malignancy of Pulmonary Nodules Using the 3-D Deep Leaky Noisy-OR Network
Fangzhou Liao et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2019)
Automated pulmonary nodule detection in CT images using deep convolutional neural networks
Hongtao Xie et al.
PATTERN RECOGNITION (2019)
Multilevel Contextual 3-D CNNs for False Positive Reduction in Pulmonary Nodule Detection
Qi Dou et al.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2017)
Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge
Arnaud Arindra Adiyoso Setio et al.
MEDICAL IMAGE ANALYSIS (2017)
Pulmonary nodule classification with deep residual networks
Aiden Nibali et al.
INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY (2017)
Pulmonary Nodule Detection in CT Images: False Positive Reduction Using Multi-View Convolutional Networks
Arnaud Arindra Adiyoso Setio et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2016)
Cancer incidence and mortality worldwide: Sources, methods and major patterns in GLOBOCAN 2012
Jacques Ferlay et al.
INTERNATIONAL JOURNAL OF CANCER (2015)
The Lung Image Database Consortium, (LIDC) and Image Database Resource Initiative (IDRI): A Completed Reference Database of Lung Nodules on CT Scans
Samuel G. Armato et al.
MEDICAL PHYSICS (2011)
Computer analysis of computed tomography scans of the lung: A survey
I Sluimer et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2006)
分享论文
