Deep interactive segmentation of medical images: A systematic review and taxonomy
Interactive segmentation is a crucial research area in medical image analysis aiming to
boost the efficiency of costly annotations by incorporating human feedback. This feedback …
boost the efficiency of costly annotations by incorporating human feedback. This feedback …
Beyond automatic medical image segmentation—the spectrum between fully manual and fully automatic delineation
Semi-automatic and fully automatic contouring tools have emerged as an alternative to fully
manual segmentation to reduce time spent contouring and to increase contour quality and …
manual segmentation to reduce time spent contouring and to increase contour quality and …
Vessel-CAPTCHA: an efficient learning framework for vessel annotation and segmentation
Deep learning techniques for 3D brain vessel image segmentation have not been as
successful as in the segmentation of other organs and tissues. This can be explained by two …
successful as in the segmentation of other organs and tissues. This can be explained by two …
Geometric Uncertainty of Patient-Specific Blood Vessels and its Impact on Aortic Hemodynamics
In the context of numerical simulations of the vascular system, local geometric uncertainties
have not yet been examined in sufficient detail due to model complexity and the associated …
have not yet been examined in sufficient detail due to model complexity and the associated …
A Systematic Review on Detection of Aortic Dissection by Utilizing Deep Learning
Aortic dissection is a cardiovascular disease-causing mortality. It is vital to detect after
emergently for earlier interventions and healing prognosis of aortic dissection. Computer …
emergently for earlier interventions and healing prognosis of aortic dissection. Computer …
Semi-supervised virtual regression of aortic dissections using 3D generative inpainting
Aortic dissection (AD) is a condition of the main artery of the human body, resulting in the
formation of a new flow channel, or false lumen (FL). The disease is usually diagnosed with …
formation of a new flow channel, or false lumen (FL). The disease is usually diagnosed with …
A comprehensive workflow and framework for immersive virtual endoscopy of dissected aortae from CTA data
The human organism is a highly complex system that is prone to various diseases. Some
diseases are more dangerous than others, especially those that affect the circulatory system …
diseases are more dangerous than others, especially those that affect the circulatory system …
A patch-based-approach for aortic landmarking
Accurate landmark localization in 3D medical volumes is nowadays needed for many
medical and technical applications such as segmentation, detection of anatomical …
medical and technical applications such as segmentation, detection of anatomical …
Deep learning and generative adversarial networks in oral and maxillofacial surgery
This chapter provides an introductory summary of recent advancements in deep learning
and its role in modern computer-aided diagnosis and treatment systems. The chapter …
and its role in modern computer-aided diagnosis and treatment systems. The chapter …
Vessel-CAPTCHA: An efficient learning framework for vessel annotation and segmentation
V Ngoc Dang, F Galati, R Cortese… - … Image Analysis, 2022 …, 2022 - diposit.ub.edu
Deep learning techniques for 3D brain vessel image segmentation have not been as
successful as in the segmentation of other organs and tissues. This can be explained by two …
successful as in the segmentation of other organs and tissues. This can be explained by two …