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DeepLung: 3D Deep Convolutional Nets for Automated Pulmonary Nodule
  Detection and Classification

DeepLung: 3D Deep Convolutional Nets for Automated Pulmonary Nodule Detection and Classification

16 September 2017
Wentao Zhu
Chaochun Liu
Wei Fan
Xiaohui Xie
    MedIm
ArXiv (abs)PDFHTML

Papers citing "DeepLung: 3D Deep Convolutional Nets for Automated Pulmonary Nodule Detection and Classification"

12 / 12 papers shown
Title
A Narrative Review on Large AI Models in Lung Cancer Screening, Diagnosis, and Treatment Planning
A Narrative Review on Large AI Models in Lung Cancer Screening, Diagnosis, and Treatment Planning
Jiachen Zhong
Yiting Wang
Di Zhu
Ziwei Wang
LM&MAAI4CE
57
1
0
01 Jul 2025
Meta Ordinal Regression Forest for Medical Image Classification with
  Ordinal Labels
Meta Ordinal Regression Forest for Medical Image Classification with Ordinal Labels
Yiming Lei
Haiping Zhu
Junping Zhang
Hongming Shan
73
21
0
15 Mar 2022
A Deep Learning System That Generates Quantitative CT Reports for
  Diagnosing Pulmonary Tuberculosis
A Deep Learning System That Generates Quantitative CT Reports for Diagnosing Pulmonary Tuberculosis
Wei Wu
Xukun Li
Peng Du
Guan-jing Lang
Min Xu
Kaijin Xu
Lanjuan Li
MedIm
59
56
0
05 Oct 2019
NoduleNet: Decoupled False Positive Reductionfor Pulmonary Nodule
  Detection and Segmentation
NoduleNet: Decoupled False Positive Reductionfor Pulmonary Nodule Detection and Segmentation
Hao Tang
Chupeng Zhang
Xiaohui Xie
58
95
0
25 Jul 2019
Two-Stage Convolutional Neural Network Architecture for Lung Nodule
  Detection
Two-Stage Convolutional Neural Network Architecture for Lung Nodule Detection
Haichao Cao
Hong Liu
E. Song
Guangzhi Ma
Xiangyang Xu
Renchao Jin
Tengying Liu
C. Hung
24
8
0
09 May 2019
Automatic Pulmonary Lobe Segmentation Using Deep Learning
Automatic Pulmonary Lobe Segmentation Using Deep Learning
Hao Tang
Chupeng Zhang
Xiaohui Xie
51
54
0
23 Mar 2019
SISC: End-to-end Interpretable Discovery Radiomics-Driven Lung Cancer
  Prediction via Stacked Interpretable Sequencing Cells
SISC: End-to-end Interpretable Discovery Radiomics-Driven Lung Cancer Prediction via Stacked Interpretable Sequencing Cells
Vignesh Sankar
Devinder Kumar
David A Clausi
Graham W. Taylor
Alexander Wong
58
24
0
15 Jan 2019
Shape and Margin-Aware Lung Nodule Classification in Low-dose CT Images
  via Soft Activation Mapping
Shape and Margin-Aware Lung Nodule Classification in Low-dose CT Images via Soft Activation Mapping
Yiming Lei
Yukun Tian
Hongming Shan
Junping Zhang
Ge Wang
Mannudeep K. Kalra
53
79
0
30 Oct 2018
DeepEM: Deep 3D ConvNets With EM For Weakly Supervised Pulmonary Nodule
  Detection
DeepEM: Deep 3D ConvNets With EM For Weakly Supervised Pulmonary Nodule Detection
Wentao Zhu
Y. S. Vang
Yufang Huang
Xiaohui Xie
MedIm
58
57
0
14 May 2018
Diagnostic Classification Of Lung Nodules Using 3D Neural Networks
Diagnostic Classification Of Lung Nodules Using 3D Neural Networks
Raunak Dey
Zhongjie Lu
Yi Hong
57
146
0
19 Mar 2018
Propagating Uncertainty in Multi-Stage Bayesian Convolutional Neural
  Networks with Application to Pulmonary Nodule Detection
Propagating Uncertainty in Multi-Stage Bayesian Convolutional Neural Networks with Application to Pulmonary Nodule Detection
Onur Ozdemir
Benjamin Woodward
A. Berlin
UQCVMedIm
68
37
0
01 Dec 2017
End-to-end Lung Nodule Detection in Computed Tomography
End-to-end Lung Nodule Detection in Computed Tomography
Dufan Wu
Kyungsang Kim
Bin Dong
Xiaofeng Liu
Quanzheng Li
MedIm
85
16
0
06 Nov 2017
1