Tsinghua University

Shenzhen Mindray Bio-medical Electronics Co., Ltd.

Beijing Didi Infinity Technology and Development Co., Ltd.

Guangzhi Wang

Qian Zhang

Lei Zhu

Hua Chai

Hui Ding

Longfei Cong

Pengfei Xu

Jingang Kang

Runbo Hu

Minglei Yang

Sicheng Zhao

Shanghang Zhang

Yang Gu

Yaxian Li

Zhichao Song

Embodiments of the disclosure provide systems and methods for domain adaptation between a plurality of source domains and a target domain. The artificial intelligence method includes receiving labeled data from the plurality of source domains and unlabeled data from the target domain. The method further includes separately training, by a processor, a plurality of source classifiers each corresponding to a source domain using the labeled data received from the respective source domains. The method also includes selecting a subset of the labeled data received from each source domain based on a similarity between the selected labeled data and the unlabeled data of the target domain. The method additionally includes refining, by the processor, each source classifier using the selected subset of the labeled data, and predicting labels of the unlabeled data using the refined source classifiers.

Machine learning systems and methods with source-target adaptation

The present application relates to an ultrasound fusion imaging method and an ultrasound fusion image navigation system. The ultrasound fusion imaging method includes a selection step, a registration step and a fusion step. The selection step is for selecting at least one ultrasound image from at least one previously stored piece of ultrasound video data according to an input instruction. The ultrasound video data includes an ultrasound image obtained by acquiring a target object in at least one plane and position indicating information corresponding to the ultrasound image. The registration step is for registering the selected at least one ultrasound image with a modality image. The registration process uses the location of the position indicating information of the at least one ultrasound image. The fusion step is for fusing the registered ultrasound image with the modality image.

Ultrasound fusion imaging method and ultrasound fusion imaging navigation system

Growing community of inventors

Beijing, China

Guangzhi Wang