Distribution Matching Losses Can Hallucinate Features in Medical Image Translation

arXiv:1805.08841 · cs.CV, cs.LG · Submitted 2018-05-22 · Read on arXiv

cs.CV, cs.LG

Submitted: 2018-05-22

Updated: 2018-10-03

Comments: Published at Medical Image Computing & Computer Assisted Intervention (MICCAI 2018). An abstract is published at the Medical Imaging with Deep Learning Conference (MIDL 2018) as "How to Cure Cancer (in images) with Unpaired Image Translation"

Journal ref: Medical Image Computing & Computer Assisted Intervention (MICCAI 2018 Oral)

DOI: 10.1007/978-3-030-00928-1_60

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Distribution Matching — 11× in this paper · explained in 2 episodes
• Consistency — 3× in this paper · explained in 3 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Data Augmentation — 1× in this paper · explained in 7 episodes
• Domain Adaptation — 1× in this paper · explained in 5 episodes
• Hallucination — 1× in this paper · explained in 3 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• Objective Function — 1× in this paper · explained in 2 episodes
• Reconstruction Error — 1× in this paper · explained in 2 episodes
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• Conditional Generative Adversarial Nets

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