Discovering Digital Tumor Signatures—Using Latent Code Representations to Manipulate and Classify Liver Lesions

Discovering Digital Tumor Signatures—Using Latent Code Representations to Manipulate and Classify Liver Lesions

Modern generative deep learning (DL) architectures allow for unsupervised learning of latent representations that can be exploited in several downstream tasks. Within the field of oncological medical imaging, we term these latent representations “digital tumor signatures” and hypothesize that they c...

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Bibliographic Details
Main Authors: Jens Kleesiek, Benedikt Kersjes, Kai Ueltzhöffer, Jacob M. Murray, Carsten Rother, Ullrich Köthe, Heinz-Peter Schlemmer
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Cancers
Subjects:
unsupervised learning
latent code
synthetic image generation
machine learning
Online Access:https://www.mdpi.com/2072-6694/13/13/3108

Internet

https://www.mdpi.com/2072-6694/13/13/3108

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