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Diagnostic Classification Of Lung Nodules Using 3D Neural Networks

Diagnostic Classification Of Lung Nodules Using 3D Neural Networks

19 March 2018
Raunak Dey
Zhongjie Lu
Yi Hong
ArXiv (abs)PDFHTML

Papers citing "Diagnostic Classification Of Lung Nodules Using 3D Neural Networks"

8 / 8 papers shown
Title
Multimodal Lead-Specific Modeling of ECG for Low-Cost Pulmonary Hypertension Assessment
Multimodal Lead-Specific Modeling of ECG for Low-Cost Pulmonary Hypertension Assessment
M. N. I. Suvon
Shuo Zhou
P. C. Tripathi
Wenrui Fan
S. Alabed
...
V. Osmani
Andrew J Swift
Chen Chen
Chen
Haiping Lu
54
0
0
03 Mar 2025
Detection, growth quantification and malignancy prediction of pulmonary
  nodules using deep convolutional networks in follow-up CT scans
Detection, growth quantification and malignancy prediction of pulmonary nodules using deep convolutional networks in follow-up CT scans
Xavier Rafael-Palou
A. Aubanell
M. Ceresa
Vicent J. Ribas
Gemma Piella
M. A. G. Ballester
MedIm
64
3
0
26 Mar 2021
Pulmonary Nodule Malignancy Classification Using its Temporal Evolution
  with Two-Stream 3D Convolutional Neural Networks
Pulmonary Nodule Malignancy Classification Using its Temporal Evolution with Two-Stream 3D Convolutional Neural Networks
Xavier Rafael-Palou
A. Aubanell
Ilaria Bonavita
M. Ceresa
Gemma Piella
Vicent J. Ribas
M. A. G. Ballester
MedIm
29
2
0
22 May 2020
Crossover-Net: Leveraging the Vertical-Horizontal Crossover Relation for
  Robust Segmentation
Crossover-Net: Leveraging the Vertical-Horizontal Crossover Relation for Robust Segmentation
Qian Yu
Yinghuan Shi
Yefeng Zheng
Yang Gao
Jianbing Zhu
Yakang Dai
MedIm
96
0
0
03 Apr 2020
Going Deep in Medical Image Analysis: Concepts, Methods, Challenges and
  Future Directions
Going Deep in Medical Image Analysis: Concepts, Methods, Challenges and Future Directions
F. Altaf
Syed Mohammed Shamsul Islam
Naveed Akhtar
N. Janjua
OOD
113
201
0
15 Feb 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
Crossbar-Net: A Novel Convolutional Network for Kidney Tumor
  Segmentation in CT Images
Crossbar-Net: A Novel Convolutional Network for Kidney Tumor Segmentation in CT Images
Qian Yu
Yinghuan Shi
Jinquan Sun
Yang Gao
Yakang Dai
Jianbing Zhu
81
100
0
27 Apr 2018
CompNet: Complementary Segmentation Network for Brain MRI Extraction
CompNet: Complementary Segmentation Network for Brain MRI Extraction
Raunak Dey
Yi Hong
88
49
0
27 Mar 2018
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