Hepatic vessel skeletonization serves as an important means of hepatic vascular analysis
and vessel segmentation. This paper presents a survey of techniques and algorithms for …

Abstract Machine learning and computer vision techniques have grown rapidly in recent
years due to their automation, suitability, and ability to generate astounding results. Hence …

Purpose This study aims to explore training strategies to improve convolutional neural
network-based image-to-image deformable registration for abdominal imaging. Methods …

Abstract Purpose The registration of Laparoscopic Ultrasound (LUS) to CT can enhance the
safety of laparoscopic liver surgery by providing the surgeon with awareness on the relative …

In mini-invasive surgery, the laparoscopic ultrasound probe is visible in the laparoscopic
image. We address the problem of estimating the probe pose with respect to the …

Artificial Intelligence (AI) is a pervasive research topic, permeating various sectors and
applications. In this study, we harness the power of AI, specifically convolutional neural …

Background The fusion of computed tomography (CT) and ultrasound (US) image can
enhance lesion detection ability and improve the success rate of liver interventional …

Purpose Accuracy of image-guided liver surgery is challenged by deformation of the liver
during the procedure. This study aims at improving navigation accuracy by using …

凭借深度学习及大数据等技术的飞速发展, 人工智能是医学领域最具发展前景的技术,
鉴于医学影像对疾病的诊断与及时治疗的关键作用, 医学影像与人工智能的结合正成为重要的 …

The recently proposed Segment Anything Model (SAM) is a general tool for image
segmentation, but it requires additional adaptation and careful fine-tuning for medical image …