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Bridging the gap between Natural and Medical Images through Deep
  Colorization

Bridging the gap between Natural and Medical Images through Deep Colorization

21 May 2020
Lia Morra
Luca Piano
Fabrizio Lamberti
Tatiana Tommasi
    MedIm
ArXivPDFHTML

Papers citing "Bridging the gap between Natural and Medical Images through Deep Colorization"

5 / 5 papers shown
Title
Dataset Distillation in Medical Imaging: A Feasibility Study
Dataset Distillation in Medical Imaging: A Feasibility Study
Muyang Li
Can Cui
Quan Liu
Ruining Deng
Tianyuan Yao
Marilyn Lionts
Yuankai Huo
OOD
DD
59
2
0
19 Jul 2024
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
362
11,700
0
09 Mar 2017
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
307
10,621
0
19 Feb 2017
Real-Time Single Image and Video Super-Resolution Using an Efficient
  Sub-Pixel Convolutional Neural Network
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network
Wenzhe Shi
Jose Caballero
Ferenc Huszár
J. Totz
Andrew P. Aitken
Rob Bishop
Daniel Rueckert
Zehan Wang
SupR
198
5,176
0
16 Sep 2016
Towards Automated Melanoma Screening: Exploring Transfer Learning
  Schemes
Towards Automated Melanoma Screening: Exploring Transfer Learning Schemes
Afonso Menegola
Michel Fornaciali
Ramon Pires
Sandra Avila
Eduardo Valle
MedIm
194
43
0
05 Sep 2016
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