First Name
Bo
Last Name
Li
Dataset Entries from this Author
The classification of Doppler ultrasound images
is very important for conception prediction. However it is a
challenging problem that suffers from a variable length of those
images with a dimension gap between them. In this study, we
propose a latent representation weight learning method (LRWL)
for conception prediction with Doppler ultrasound images. Unlike
most existing related methods, LRWL can process a variable
length of multiple images, particularly with an irregular multi-image issue. LRWL can extract the relation between the images
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