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Symbolic Semantic Segmentation and Interpretation of COVID-19 Lung
  Infections in Chest CT volumes based on Emergent Languages

Symbolic Semantic Segmentation and Interpretation of COVID-19 Lung Infections in Chest CT volumes based on Emergent Languages

22 August 2020
Aritra Chowdhury
Alberto Santamaria-Pang
James R. Kubricht
Jianwei Qiu
Peter Tu
    MedIm
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Papers citing "Symbolic Semantic Segmentation and Interpretation of COVID-19 Lung Infections in Chest CT volumes based on Emergent Languages"

3 / 3 papers shown
Title
A Review of the Applications of Deep Learning-Based Emergent
  Communication
A Review of the Applications of Deep Learning-Based Emergent Communication
Brendon Boldt
David R. Mortensen
VLM
34
6
0
03 Jul 2024
Severity Assessment of Coronavirus Disease 2019 (COVID-19) Using
  Quantitative Features from Chest CT Images
Severity Assessment of Coronavirus Disease 2019 (COVID-19) Using Quantitative Features from Chest CT Images
Zhenyu Tang
Wei-Ye Zhao
Xingzhi Xie
Zheng Zhong
F. Shi
Jun Liu
D. Shen
28
171
0
26 Mar 2020
CT-Realistic Lung Nodule Simulation from 3D Conditional Generative
  Adversarial Networks for Robust Lung Segmentation
CT-Realistic Lung Nodule Simulation from 3D Conditional Generative Adversarial Networks for Robust Lung Segmentation
D. Jin
Ziyue Xu
Youbao Tang
Adam P. Harrison
D. Mollura
MedIm
57
185
0
11 Jun 2018
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