Learning-Based Algorithms for Vessel Tracking: A Review
Developing efficient vessel-tracking algorithms is crucial for imaging-based diagnosis and treatment of vascular diseases. Vessel tracking aims to solve recognition problems such as key (seed) point detection, centerline extraction, and vascular segmentation. Extensive image-processing techniques have been developed to overcome the problems of vessel tracking that are mainly attributed to the complex morphologies of vessels and image characteristics of angiography. This paper presents a literature review on vessel-tracking methods, focusing on machine-learning-based methods. First, the conventional machine-learning-based algorithms are reviewed, and then, a general survey of deep-learning-based frameworks is provided. On the basis of the reviewed methods, the evaluation issues are introduced. The paper is concluded with discussions about the remaining exigencies and future research.
Code (0)
등록된 구현이 없습니다.
Tasks
BIG-bench Machine LearningSimilar Papers 제목 키워드 기반
A CNN-LSTM Architecture for Marine Vessel Track Association Using Automatic Identification System (AIS) Data
In marine surveillance, distinguishing between normal and anomalous vessel movement patterns is critical for identifying potential threats in a timely manner. Once detected, it is important to monitor and track these ves…
Multi-Object TrackingObject TrackingVisual Trajectory Prediction of Vessels for Inland Navigation
The future of inland navigation increasingly relies on autonomous systems and remote operations, emphasizing the need for accurate vessel trajectory prediction. This study addresses the challenges of video-based vessel t…
Collision Avoidanceobject-detectionObject DetectionPrediction+1Vessel Re-identification and Activity Detection in Thermal Domain for Maritime Surveillance
Maritime surveillance is vital to mitigate illegal activities such as drug smuggling, illegal fishing, and human trafficking. Vision-based maritime surveillance is challenging mainly due to visibility issues at night, wh…
Action DetectionActivity DetectionObject TrackingContour and Centreline Tracking of Vessels from Angiograms using the Classical Image Processing Techniques
This article deals with the problem of vessel edge and centerline detection using classical image processing techniques due to their simpleness and easiness to be implemented. The method is divided into four steps: the v…
Contour DetectionFast Vessel Segmentation and Tracking in Ultra High-Frequency Ultrasound Images
Ultra High Frequency Ultrasound (UHFUS) enables the visualization of highly deformable small and medium vessels in the hand. Intricate vessel-based measurements, such as intimal wall thickness and vessel wall compliance,…
GPUVocal Bursts Intensity Prediction