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Unsupervised anomaly detection in digital pathology using GANs

Unsupervised anomaly detection in digital pathology using GANs

16 March 2021
Milda Pocevičiūtė
Gabriel Eilertsen
Claes Lundström
    MedIm
ArXivPDFHTML

Papers citing "Unsupervised anomaly detection in digital pathology using GANs"

3 / 3 papers shown
Title
Ovarian Cancer Data Analysis using Deep Learning: A Systematic Review
  from the Perspectives of Key Features of Data Analysis and AI Assurance
Ovarian Cancer Data Analysis using Deep Learning: A Systematic Review from the Perspectives of Key Features of Data Analysis and AI Assurance
Muta Tah Hira
M. Razzaque
Mosharraf Sarker
29
0
0
20 Nov 2023
Learning image representations for anomaly detection: application to
  discovery of histological alterations in drug development
Learning image representations for anomaly detection: application to discovery of histological alterations in drug development
I. Zingman
B. Stierstorfer
C. Lempp
Fabian Heinemann
OOD
MedIm
32
11
0
14 Oct 2022
Evaluating the Performance of StyleGAN2-ADA on Medical Images
Evaluating the Performance of StyleGAN2-ADA on Medical Images
M. Woodland
J. Wood
B. Anderson
Suprateek Kundu
E. Lin
...
S. Yedururi
Briand De
Yuan-Mao Lin
Ankit B. Patel
Kristy K. Brock
MedIm
32
22
0
07 Oct 2022
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