Risks of feature leakage and sample size dependencies in deep feature extraction for breast mass classification
Purpose Transfer learning is commonly used in deep learning for medical imaging to
alleviate the problem of limited available data. In this work, we studied the risk of feature …
alleviate the problem of limited available data. In this work, we studied the risk of feature …
Look, investigate, and classify: a deep hybrid attention method for breast cancer classification
One issue with computer based histopathology image analysis is that the size of the raw
image is usually very large. Taking the raw image as input to the deep learning model would …
image is usually very large. Taking the raw image as input to the deep learning model would …
Unregistered multiview mammogram analysis with pre-trained deep learning models
We show two important findings on the use of deep convolutional neural networks (CNN) in
medical image analysis. First, we show that CNN models that are pre-trained using …
medical image analysis. First, we show that CNN models that are pre-trained using …