Abstract The Segment Anything Model (SAM) is the first foundation model for general image
segmentation. It has achieved impressive results on various natural image segmentation …

Fetal pose estimation in 3D ultrasound (US) involves identifying a set of associated fetal
anatomical landmarks. Its primary objective is to provide comprehensive information about …

Deep learning (DL) has proven highly effective for ultrasound-based computer-aided
diagnosis (CAD) of breast cancers. In an automatic CAD system, lesion detection is critical …

Weakly-supervised segmentation (WSS) methods, reliant on image-level labels indicating
object presence, lack explicit correspondence between labels and regions of interest (ROIs) …

Deep reinforcement learning (DRL) augments the reinforcement learning framework, which
learns a sequence of actions that maximizes the expected reward, with the representative …

Interactive medical image segmentation refers to the accurate segmentation of the target of
interest through interaction (eg, click) between the user and the image. It has been widely …

Although the image segmentation method based on full supervision has achieved good
results, it takes a lot of manpower and time to label medical images pixel by pixel. In this …