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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

14 October 2022
I. Zingman
B. Stierstorfer
C. Lempp
Fabian Heinemann
    OOD
    MedIm
ArXivPDFHTML

Papers citing "Learning image representations for anomaly detection: application to discovery of histological alterations in drug development"

2 / 2 papers shown
Title
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
247
36,356
0
25 Aug 2016
Classifying and Segmenting Microscopy Images Using Convolutional
  Multiple Instance Learning
Classifying and Segmenting Microscopy Images Using Convolutional Multiple Instance Learning
Oren Z. Kraus
Lei Jimmy Ba
B. Frey
159
391
0
17 Nov 2015
1