Shaoyi Du

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

Keypoint-Guided Medical Video Segmentation Model With Spatiotemporal Feature Fusion

Atrial fibrillation, characterized by high prevalence and poor prognosis, presents a significant global health burden. Accurate segmentation and measurement of left ventricular and …

minghao-wang

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
GSA-Gaze: Generative Self-adversarial Learning for Domain Generalized Driver Gaze Estimation featured image

GSA-Gaze: Generative Self-adversarial Learning for Domain Generalized Driver Gaze Estimation

Estimating driver gaze accurately is critical for the human-machine cooperative driving, but the significant facial appearance diversions caused by background, illumination, …

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HAN Hongcheng

Coarse-to-fine feature representation based on deformable partition attention for melanoma identification

In the histopathological melanoma image diagnosis system, manual identification of super-scale slides with dense cells is tedious, time-consuming, and subjective. To deal with this …

dong-zhang