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Deep Learning for Tumor Classification in Imaging Mass Spectrometry

Deep Learning for Tumor Classification in Imaging Mass Spectrometry

2 May 2017
Jens Behrmann
Christian Etmann
T. Boskamp
R. Casadonte
J. Kriegsmann
Peter Maass
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Papers citing "Deep Learning for Tumor Classification in Imaging Mass Spectrometry"

5 / 5 papers shown
Title
Enhanced Transfer Learning Through Medical Imaging and Patient
  Demographic Data Fusion
Enhanced Transfer Learning Through Medical Imaging and Patient Demographic Data Fusion
S. Thomas
27
3
0
29 Nov 2021
Combining Image Features and Patient Metadata to Enhance Transfer
  Learning
Combining Image Features and Patient Metadata to Enhance Transfer Learning
S. Thomas
34
5
0
08 Oct 2021
spectrai: A deep learning framework for spectral data
spectrai: A deep learning framework for spectral data
C. Horgan
Mads S. Bergholt
VLM
21
4
0
17 Aug 2021
Deeply supervised UNet for semantic segmentation to assist
  dermatopathological assessment of Basal Cell Carcinoma (BCC)
Deeply supervised UNet for semantic segmentation to assist dermatopathological assessment of Basal Cell Carcinoma (BCC)
Jean LeĆlerc Arrastia
Nick Heilenkötter
Daniel Otero Baguer
Lena Hauberg-Lotte
T. Boskamp
Sonja Hetzer
Nicole Duschner
Jörg Schaller
Peter Maass
24
44
0
05 Mar 2021
High-throughput molecular imaging via deep learning enabled Raman
  spectroscopy
High-throughput molecular imaging via deep learning enabled Raman spectroscopy
C. Horgan
Magnus Jensen
A. Nagelkerke
J. St-Pierre
Tom Kamiel Magda Vercauteren
Molly M. Stevens
Mads S. Bergholt
24
71
0
28 Sep 2020
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