Learning Semantics-Enriched Representation via Self-discovery, Self-Classification, and…

Learning Semantics-Enriched Representation via Self-discovery, Self-Classification, and Self-Restoration: A Summary

Get better results on scarce medical image datasets with a novel transfer learning technique to pretrain deep learning model

One of the primary problems with applying machine learning and deep learning models to medical imaging tasks is the scarcity of sufficient data to train the model. Manual generation and labelling of medical images are costly and time taking as highly trained experts are needed …

artificial intelligence classification computer vision deep learning discovery machine learning representation semantics transfer learning