Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 2 of 2 for “"Data imbalance problem"”.
-
Multi-class segmentation of brain tumor using Convolution Neural Network
… The two phase training and entropy sampling of data makes it easier to learn tumor boundaries and overcome the data imbalance problem.
-
Learning Representations for Limited and Heterogeneous Medical Data
Data insufficiency and heterogeneity are challenges of representation learning for machine learning in medicine due to the diversity of medical data and the expense of data collection and annotation. To learn generalizable representations from such limited and heterogeneous medical data, we aim to …