Unsupervised Reverse Domain Adaptation for Synthetic Medical Images via Adversarial Training
نویسندگان
چکیده
منابع مشابه
Unsupervised Reverse Domain Adaptation for Synthetic Medical Images via Adversarial Training
To realize the full potential of deep learning for medical imaging, large annotated datasets are required for training. Such datasets are difficult to acquire because labeled medical images are not usually available due to privacy issues, lack of experts available for annotation, underrepresentation of rare conditions and poor standardization. Lack of annotated data has been addressed in conven...
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ژورنال
عنوان ژورنال: IEEE Transactions on Medical Imaging
سال: 2018
ISSN: 0278-0062,1558-254X
DOI: 10.1109/tmi.2018.2842767