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Non-Redundant Combination of Hand-Crafted and Deep Learning Radiomics:
  Application to the Early Detection of Pancreatic Cancer

Non-Redundant Combination of Hand-Crafted and Deep Learning Radiomics: Application to the Early Detection of Pancreatic Cancer

22 August 2023
Rebeca Vétil
Clément Abi-Nader
Alexandre Bône
M. Vullierme
Marc-Michel Rohé
Pietro Gori
Isabelle Bloch
    MedIm
ArXiv (abs)PDFHTML

Papers citing "Non-Redundant Combination of Hand-Crafted and Deep Learning Radiomics: Application to the Early Detection of Pancreatic Cancer"

4 / 4 papers shown
Title
Guiding the classification of hepatocellular carcinoma on 3D CT-scans using deep and handcrafted radiological features
Guiding the classification of hepatocellular carcinoma on 3D CT-scans using deep and handcrafted radiological features
E. Sarfati
A. Bône
M-M. Rohé
C. Aubé
M. Ronot
P. Gori
I. Bloch
83
0
0
14 Jan 2025
Joint Shape Representation and Classification for Detecting PDAC
Joint Shape Representation and Classification for Detecting PDAC
Fengze Liu
Lingxi Xie
Yingda Xia
Elliot K. Fishman
Alan Yuille
MedIm
36
18
0
27 Apr 2018
Disentangling by Factorising
Disentangling by Factorising
Hyunjik Kim
A. Mnih
CoGeOOD
64
1,356
0
16 Feb 2018
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
681
10,796
0
19 Feb 2017
1