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Multi-source Transfer Learning with Convolutional Neural Networks for
  Lung Pattern Analysis

Multi-source Transfer Learning with Convolutional Neural Networks for Lung Pattern Analysis

8 December 2016
Stergios Christodoulidis
M. Anthimopoulos
L. Ebner
Andreas Christe
Stavroula Mougiakakou
ArXivPDFHTML

Papers citing "Multi-source Transfer Learning with Convolutional Neural Networks for Lung Pattern Analysis"

8 / 8 papers shown
Title
Privacy-Preserving Ensemble Infused Enhanced Deep Neural Network
  Framework for Edge Cloud Convergence
Privacy-Preserving Ensemble Infused Enhanced Deep Neural Network Framework for Edge Cloud Convergence
Veronika Stephanie
I. Khalil
Mohammad Saidur Rahman
Mohammed Atiquzzaman
FedML
13
10
0
16 May 2023
Fibrosis-Net: A Tailored Deep Convolutional Neural Network Design for
  Prediction of Pulmonary Fibrosis Progression from Chest CT Images
Fibrosis-Net: A Tailored Deep Convolutional Neural Network Design for Prediction of Pulmonary Fibrosis Progression from Chest CT Images
A. Wong
Jack Lu
Adam Dorfman
Paul McInnis
M. Famouri
Daniel Manary
J. Lee
Michael Lynch
AI4CE
20
18
0
06 Mar 2021
COVID-19 Detection in Chest X-Ray Images using a New Channel Boosted CNN
COVID-19 Detection in Chest X-Ray Images using a New Channel Boosted CNN
Dr. Saddam Hussain Khan
A. Sohail
Asifullah Khan
32
63
0
08 Dec 2020
Machine-Learning-Based Multiple Abnormality Prediction with Large-Scale
  Chest Computed Tomography Volumes
Machine-Learning-Based Multiple Abnormality Prediction with Large-Scale Chest Computed Tomography Volumes
R. Draelos
D. Dov
Maciej Mazurowski
J. Lo
Ricardo Henao
Geoffrey D. Rubin
Lawrence Carin
17
68
0
12 Feb 2020
Bayesian Generative Models for Knowledge Transfer in MRI Semantic
  Segmentation Problems
Bayesian Generative Models for Knowledge Transfer in MRI Semantic Segmentation Problems
Anna Kuzina
Evgenii Egorov
Evgeny Burnaev
MedIm
29
19
0
15 Aug 2019
Going Deep in Medical Image Analysis: Concepts, Methods, Challenges and
  Future Directions
Going Deep in Medical Image Analysis: Concepts, Methods, Challenges and Future Directions
F. Altaf
Syed Mohammed Shamsul Islam
Naveed Akhtar
N. Janjua
OOD
29
200
0
15 Feb 2019
Few-shot Learning for Named Entity Recognition in Medical Text
Few-shot Learning for Named Entity Recognition in Medical Text
Maximilian Hofer
Andrey Kormilitzin
Paul W. Goldberg
A. Nevado-Holgado
9
65
0
13 Nov 2018
Not-so-supervised: a survey of semi-supervised, multi-instance, and
  transfer learning in medical image analysis
Not-so-supervised: a survey of semi-supervised, multi-instance, and transfer learning in medical image analysis
V. Cheplygina
Marleen de Bruijne
J. Pluim
16
745
0
17 Apr 2018
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