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High-risk Factor Prediction in Lung Cancer Using Thin CT Scans: An
  Attention-Enhanced Graph Convolutional Network Approach

High-risk Factor Prediction in Lung Cancer Using Thin CT Scans: An Attention-Enhanced Graph Convolutional Network Approach

27 August 2023
Xiaotong Fu
Xiangyu Meng
Jing Zhou
Ying Ji
ArXivPDFHTML

Papers citing "High-risk Factor Prediction in Lung Cancer Using Thin CT Scans: An Attention-Enhanced Graph Convolutional Network Approach"

4 / 4 papers shown
Title
Pose2Mesh: Graph Convolutional Network for 3D Human Pose and Mesh
  Recovery from a 2D Human Pose
Pose2Mesh: Graph Convolutional Network for 3D Human Pose and Mesh Recovery from a 2D Human Pose
Hongsuk Choi
Gyeongsik Moon
Kyoung Mu Lee
3DH
39
374
0
20 Aug 2020
Integration of Convolutional Neural Networks for Pulmonary Nodule
  Malignancy Assessment in a Lung Cancer Classification Pipeline
Integration of Convolutional Neural Networks for Pulmonary Nodule Malignancy Assessment in a Lung Cancer Classification Pipeline
Ilaria Bonavita
Xavier Rafael-Palou
M. Ceresa
Gemma Piella
Vicent J. Ribas
M. A. G. Ballester
22
73
0
18 Dec 2019
CBAM: Convolutional Block Attention Module
CBAM: Convolutional Block Attention Module
Sanghyun Woo
Jongchan Park
Joon-Young Lee
In So Kweon
145
16,337
0
17 Jul 2018
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
514
36,599
0
25 Aug 2016
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