Volumetric lesion segmentation via medical imaging is a powerful means to precisely assess multiple time-point lesion/tumor changes. Because manual 3…
This paper proposes a novel framework for lung segmentation in chest X-rays. It consists of two key contributions, a criss-cross attention based segm…
For the task of open domain Knowledge Based Question Answering in CCKS2019, we propose a method combining information retrieval and semantic parsing.…
The recent research of facial expression recognition has made a lot of progress due to the development of deep learning technologies, but some typica…
Representation learning (RL) plays an important role in extracting proper representations from complex medical data for various analyzing tasks, such…
We study in this paper how to initialize the parameters of multinomial logistic regression (a fully connected layer followed with softmax and cross e…
Owing to its unique literal and aesthetical characteristics, automatic generation of Chinese poetry is still challenging in Artificial Intelligence, …
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