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Transferability of Deep Learning Algorithms for Malignancy Detection in
  Confocal Laser Endomicroscopy Images from Different Anatomical Locations of
  the Upper Gastrointestinal Tract
v1v2 (latest)

Transferability of Deep Learning Algorithms for Malignancy Detection in Confocal Laser Endomicroscopy Images from Different Anatomical Locations of the Upper Gastrointestinal Tract

24 February 2019
Marc Aubreville
Miguel Goncalves
C. Knipfer
N. Oetter
H. Neumann
Florian Stelzle
C. Bohr
Andreas Maier
ArXiv (abs)PDFHTML

Papers citing "Transferability of Deep Learning Algorithms for Malignancy Detection in Confocal Laser Endomicroscopy Images from Different Anatomical Locations of the Upper Gastrointestinal Tract"

2 / 2 papers shown
Soft-CAM: Making black box models self-explainable for medical image analysis
Soft-CAM: Making black box models self-explainable for medical image analysis
K. Djoumessi
Philipp Berens
FAttBDL
494
1
0
23 May 2025
Few Shot Learning for the Classification of Confocal Laser
  Endomicroscopy Images of Head and Neck Tumors
Few Shot Learning for the Classification of Confocal Laser Endomicroscopy Images of Head and Neck TumorsBildverarbeitung für die Medizin (BVM), 2023
Marc Aubreville
Zhaoya Pan
M. Sievert
Jonas Ammeling
J. Ganz
N. Oetter
Florian Stelzle
Ann-Kathrin Frenken
Katharina Breininger
Miguel Goncalves
153
1
0
13 Nov 2023
1
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