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Vessel Detection

Papers

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Showing 1–25 of 29 papers

TitleStatusHype
Asynchronous Trajectory Matching-Based Multimodal Maritime Data Fusion for Vessel Traffic Surveillance in Inland WaterwaysCode1
Deformable Convolutional NetworksCode1
An Active Contour Model Using Matched Filter and Hessian Matrix for Retinal Vessels SegmentationCode1
Image and AIS Data Fusion Technique for Maritime Computer Vision ApplicationsCode1
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal NetworksCode1
Cherenkov Imaged Bio-morphological Features Verify Patient Positioning with Deformable Tissue Translocation in Breast Radiotherapy—0
Delineation of line patterns in images using B-COSFIRE filters—0
Dense Dilated Network with Probability Regularized Walk for Vessel Detection—0
Development of novel algorithm to visualize blood vessels on 3D ultrasound images during liver surgery—0
ABOShips -- An Inshore and Offshore Maritime Vessel Detection Dataset with Precise Annotations—0
Continuous and complete liver vessel segmentation with graph-attention guided diffusion—0
A Novel Deep Learning Pipeline for Retinal Vessel Detection in Fluorescein Angiography—0
Beyond CNNs: Exploiting Further Inherent Symmetries in Medical Image Segmentation—0
Blood Vessel Detection using Modified Multiscale MF-FDOG Filters for Diabetic Retinopathy—0
Multi-Scale Anisotropic Fourth-Order Diffusion Improves Ridge and Valley Localization—0
Near-Shore Mapping for Detection and Tracking of Vessels—0
Optimizing ship detection efficiency in SAR images—0
Structured Regression Gradient Boosting—0
VDDT: Improving Vessel Detection with Deformable Transfomer—0
Evaluation and Optimization of Positional Accuracy for Maritime Positioning Systems—0
FAD-SAR: A Novel Fishing Activity Detection System via Synthetic Aperture Radar Images Based on Deep Learning Method—0
Insight Into the Collocation of Multi-Source Satellite Imagery for Multi-Scale Vessel Detection—0
Memory Efficient Multi-Scale Line Detector Architecture for Retinal Blood Vessel Segmentation—0
Multi-Resolution 3D Convolutional Neural Networks for Automatic Coronary Centerline Extraction in Cardiac CT Angiography Scans—0
Ensemble of Deep Convolutional Neural Networks for Learning to Detect Retinal Vessels in Fundus ImagesCode0
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