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2101.00691
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CovTANet: A Hybrid Tri-level Attention Based Network for Lesion Segmentation, Diagnosis, and Severity Prediction of COVID-19 Chest CT Scans
3 January 2021
Tanvir Mahmud
Md. Jahin Alam
Sakib Chowdhury
Shams Nafisa Ali
Md. Maisoon Rahman
Shaikh Anowarul Fattah
Mohammad Saquib
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Papers citing
"CovTANet: A Hybrid Tri-level Attention Based Network for Lesion Segmentation, Diagnosis, and Severity Prediction of COVID-19 Chest CT Scans"
4 / 4 papers shown
Title
DACov: A Deeper Analysis of Data Augmentation on the Computed Tomography Segmentation Problem
Bruno A. Krinski
Daniel V. Ruiz
Rayson Laroca
E. Todt
3DPC
20
2
0
10 Mar 2023
COVID-19 Infection Segmentation from Chest CT Images Based on Scale Uncertainty
M. Oda
Tong Zheng
Y. Hayashi
Y. Otake
M. Hashimoto
T. Akashi
S. Aoki
K. Mori
15
1
0
09 Jan 2022
TB-ICT: A Trustworthy Blockchain-Enabled System for Indoor COVID-19 Contact Tracing
Mohammad Salimibeni
Zohreh Hajiakhondi-Meybodi
A. Mohammadi
Yingxu Wang
26
7
0
09 Aug 2021
COVID-19 identification from volumetric chest CT scans using a progressively resized 3D-CNN incorporating segmentation, augmentation, and class-rebalancing
Md. Kamrul Hasan
Md. Tasnim Jawad
Kazi N. Hasan
Sajal Basak Partha
Md. Masum Al Masba
Shumit Saha
26
21
0
11 Feb 2021
1