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Document type:
Konferenzbeitrag
Author(s):
Navarro, F.; Conjeti, S.; Tombari, F.; Navab, N.
Title:
Leveraging Web Data for Skin Lesion Classification
Abstract:
The success of deep learning is mainly based on the assumption that for the given application, there is access to a large amount of annotated data. In medical imaging applications, having access to a big-well-annotated data-set is restrictive, time-consuming and costly to obtain. Although diverse techniques as data augmentation can be leveraged to increase the size and variability within the data-set, the representativeness of the training set is still limited by the number of available sa...     »
Keywords:
MedicalImaging,MICCAI,MLMI
Book / Congress title:
International Conference on Medical Image Computing and Computer-Assisted Intervention
Organization:
Springer
Year:
2019
Pages:
398--406
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