Jue Jiang

AsyCMST: Asymmetric cross-modal spatio-temporal learning for multimodal ultrasound nodule recognition featured image

AsyCMST: Asymmetric cross-modal spatio-temporal learning for multimodal ultrasound nodule recognition

Multimodal ultrasound combining B-mode ultrasound (BUS) and contrast-enhanced ultrasound (CEUS) has become a powerful tool for diagnosing superficial nodules in the thyroid and …

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HAN Hongcheng

A segment anything model for transesophageal echocardiography based on bidirectional spatiotemporal context fusion

Accurate segmentation of the left atrial appendage (LAA) in transesophageal echocardiography is the foundation for clinical evaluation. However, the ambiguous boundaries of the …

minghao-wang
HSC-T: B-ultrasound-to-elastography translation via hierarchical structural consistency learning for thyroid cancer diagnosis featured image

HSC-T: B-ultrasound-to-elastography translation via hierarchical structural consistency learning for thyroid cancer diagnosis

Elastography ultrasound imaging is increasingly important in the diagnosis of thyroid cancer and other diseases, but its reliance on specialized equipment and techniques limits …

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HAN Hongcheng