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Fully Automatic Deep Learning Framework for Pancreatic Ductal
  Adenocarcinoma Detection on Computed Tomography

Fully Automatic Deep Learning Framework for Pancreatic Ductal Adenocarcinoma Detection on Computed Tomography

30 November 2021
N. Alves
M. Schuurmans
G. Litjens
Joeran S. Bosma
J. Hermans
Henkjan Huisman
    MedIm
ArXivPDFHTML

Papers citing "Fully Automatic Deep Learning Framework for Pancreatic Ductal Adenocarcinoma Detection on Computed Tomography"

2 / 2 papers shown
Title
Counterfactuals and Uncertainty-Based Explainable Paradigm for the Automated Detection and Segmentation of Renal Cysts in Computed Tomography Images: A Multi-Center Study
Counterfactuals and Uncertainty-Based Explainable Paradigm for the Automated Detection and Segmentation of Renal Cysts in Computed Tomography Images: A Multi-Center Study
Zohaib Salahuddin
A. Ibrahim
Sheng Kuang
Y. Widaatalla
R. Miclea
...
Tom Marcelissen
Patricia Zondervan
Auke Jager
Philippe Lambin
Henry C. Woodruff
MedIm
20
0
0
07 Aug 2024
Improved Pancreatic Tumor Detection by Utilizing Clinically-Relevant
  Secondary Features
Improved Pancreatic Tumor Detection by Utilizing Clinically-Relevant Secondary Features
Christiaan G. A. Viviers
Mark Ramaekers
Peter H. N. de With
Dimitrios Mavroeidis
Joost Nederend
M. Luyer
Fons van der Sommen
17
8
0
06 Aug 2022
1