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TDA-Net: Fusion of Persistent Homology and Deep Learning Features for
  COVID-19 Detection in Chest X-Ray Images

TDA-Net: Fusion of Persistent Homology and Deep Learning Features for COVID-19 Detection in Chest X-Ray Images

21 January 2021
Mustafa Hajij
Ghada Zamzmi
F. Batayneh
ArXivPDFHTML

Papers citing "TDA-Net: Fusion of Persistent Homology and Deep Learning Features for COVID-19 Detection in Chest X-Ray Images"

6 / 6 papers shown
Title
Synthetic Data Generation and Deep Learning for the Topological Analysis
  of 3D Data
Synthetic Data Generation and Deep Learning for the Topological Analysis of 3D Data
Dylan Peek
Matthew P. Skerritt
Stephan Chalup
3DPC
40
1
0
29 Sep 2023
Modeling electronic health record data using a knowledge-graph-embedded
  topic model
Modeling electronic health record data using a knowledge-graph-embedded topic model
Yuesong Zou
Ahmad Pesaranghader
Aman Verma
David L. Buckeridge
Yue Li
27
1
0
03 Jun 2022
Statistical and Topological Summaries Aid Disease Detection for
  Segmented Retinal Vascular Images
Statistical and Topological Summaries Aid Disease Detection for Segmented Retinal Vascular Images
John T. Nardini
Charles Pugh
H. Byrne
19
4
0
20 Feb 2022
A persistent homology-based topological loss for CNN-based multi-class
  segmentation of CMR
A persistent homology-based topological loss for CNN-based multi-class segmentation of CMR
Nicholas Byrne
J. Clough
I. Valverde
Giovanni Montana
A. King
39
25
0
27 Jul 2021
Persistent Homology and Graphs Representation Learning
Persistent Homology and Graphs Representation Learning
Mustafa Hajij
Ghaza Zamzmi
X. Cai
43
5
0
25 Feb 2021
Statistical topological data analysis using persistence landscapes
Statistical topological data analysis using persistence landscapes
Peter Bubenik
114
846
0
27 Jul 2012
1