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Feasibility Study of Multi-Site Split Learning for Privacy-Preserving
  Medical Systems under Data Imbalance Constraints in COVID-19, X-Ray, and
  Cholesterol Dataset

Feasibility Study of Multi-Site Split Learning for Privacy-Preserving Medical Systems under Data Imbalance Constraints in COVID-19, X-Ray, and Cholesterol Dataset

21 February 2022
Yoo Jeong Ha
Gusang Lee
M. Yoo
Soyi Jung
Seehwan Yoo
Joongheon Kim
    OOD
ArXiv (abs)PDFHTML

Papers citing "Feasibility Study of Multi-Site Split Learning for Privacy-Preserving Medical Systems under Data Imbalance Constraints in COVID-19, X-Ray, and Cholesterol Dataset"

8 / 8 papers shown
Title
Spatio-Temporal Split Learning for Privacy-Preserving Medical Platforms:
  Case Studies with COVID-19 CT, X-Ray, and Cholesterol Data
Spatio-Temporal Split Learning for Privacy-Preserving Medical Platforms: Case Studies with COVID-19 CT, X-Ray, and Cholesterol Data
Yoo Jeong Ha
M. Yoo
Gusang Lee
Soyi Jung
Sae Won Choi
Joongheon Kim
Seehwan Yoo
OOD
58
24
0
20 Aug 2021
Exploring the Effect of Image Enhancement Techniques on COVID-19
  Detection using Chest X-rays Images
Exploring the Effect of Image Enhancement Techniques on COVID-19 Detection using Chest X-rays Images
Tawsifur Rahman
Amith Khandakar
Yazan Qiblawey
Anas Tahir
S. Kiranyaz
...
M. Islam
S. Al-Maadeed
S. Zughaier
Muhammad Salman Khan
M. Chowdhury
75
831
0
25 Nov 2020
COVID-19 Image Data Collection: Prospective Predictions Are the Future
COVID-19 Image Data Collection: Prospective Predictions Are the Future
Joseph Paul Cohen
Paul Morrison
Lan Dao
Karsten Roth
T. Duong
Marzyeh Ghassemi
84
781
0
22 Jun 2020
MosMedData: Chest CT Scans With COVID-19 Related Findings Dataset
MosMedData: Chest CT Scans With COVID-19 Related Findings Dataset
Sergey P. Morozov
Anna E. Andreychenko
Nikolay A. Pavlov
A. Vladzymyrskyy
N. Ledikhova
V. Gombolevskiy
I. Blokhin
P. Gelezhe
A. Gonchar
V. Chernina
54
247
0
13 May 2020
Towards Data-Efficient Learning: A Benchmark for COVID-19 CT Lung and
  Infection Segmentation
Towards Data-Efficient Learning: A Benchmark for COVID-19 CT Lung and Infection Segmentation
Jun Ma
Yixin Wang
Xingle An
Cheng Ge
Ziqi Yu
...
Jian He
Zhiqiang He
Yuntao Zhu
Ziwei Nie
Xiaoping Yang
83
212
0
27 Apr 2020
SplitFed: When Federated Learning Meets Split Learning
SplitFed: When Federated Learning Meets Split Learning
Chandra Thapa
Pathum Chamikara Mahawaga Arachchige
S. Çamtepe
Lichao Sun
FedML
92
589
0
25 Apr 2020
COVID-CT-Dataset: A CT Scan Dataset about COVID-19
COVID-CT-Dataset: A CT Scan Dataset about COVID-19
Xingyi Yang
Xuehai He
Jinyu Zhao
Yichen Zhang
Shanghang Zhang
P. Xie
104
848
0
30 Mar 2020
Split learning for health: Distributed deep learning without sharing raw
  patient data
Split learning for health: Distributed deep learning without sharing raw patient data
Praneeth Vepakomma
O. Gupta
Tristan Swedish
Ramesh Raskar
FedML
121
710
0
03 Dec 2018
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