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cs.CV2019★ 1 cited
Photometric Transformer Networks and Label Adjustment for Breast Density Prediction
Jaehwan Lee, Donggeon Yoo, Jung Yin Huh +1
Grading breast density is highly sensitive to normalization settings of digital mammogram as the density is tightly correlated with the distribution of pixel intensity. Also, the g…
cs.CV2018
Keep and Learn: Continual Learning by Constraining the Latent Space for Knowledge Preservation in Neural Networks
Hyo-Eun Kim, Seungwook Kim, Jaehwan Lee
Data is one of the most important factors in machine learning. However, even if we have high-quality data, there is a situation in which access to the data is restricted. For examp…