Cover Image

A New Approach for Evaluating and Improving the Performance of Segmentation Algorithms on Hard-to-Detect Blood Vessels

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Parella, João Pedro, da Silva, Matheus Viana, Comin, Cesar Henrique
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A new dataset for measuring the performance of blood vessel segmentation methods under distribution shifts
by: da Silva, Matheus Viana, et al.
Published: (2023)

Comparative Analysis of Deepfake Detection Models: New Approaches and Perspectives
by: Batista, Matheus Martins
Published: (2025)

Improved Vessel Segmentation with Symmetric Rotation-Equivariant U-Net
by: Zhang, Jiazhen, et al.
Published: (2025)

Bright 4B: Scaling Hyperspherical Learning for Segmentation in 3D Brightfield Microscopy
by: Khan, Amil, et al.
Published: (2025)

Multi-Domain Brain Vessel Segmentation Through Feature Disentanglement
by: Galati, Francesco, et al.
Published: (2025)

Unsupervised Domain Adaptation for Brain Vessel Segmentation through Transwarp Contrastive Learning
by: Lin, Fengming, et al.
Published: (2024)

Recursive Variational Autoencoders for 3D Blood Vessel Generative Modeling
by: Feldman, Paula, et al.
Published: (2025)

A Geometric Algorithm for Blood Vessel Reconstruction from Skeletal Representation
by: Zhang, Guoqing, et al.
Published: (2024)

Vessel Re-identification and Activity Detection in Thermal Domain for Maritime Surveillance
by: Ginige, Yasod, et al.
Published: (2024)

Synthetic Data for Blood Vessel Network Extraction
by: Mathys, Joël, et al.
Published: (2025)

Improving Generalization via Meta-Learning on Hard Samples
by: Jain, Nishant, et al.
Published: (2024)

HSMix: Hard and Soft Mixing Data Augmentation for Medical Image Segmentation
by: Sun, Danyang, et al.
Published: (2025)

DarkVesselNet: Multi-Modal Remote Sensing and Trajectory Reasoning for Dark Vessel Detection
by: Sharma, Arun
Published: (2026)

Better than Average: Spatially-Aware Aggregation of Segmentation Uncertainty Improves Downstream Performance
by: Guarino, Vanessa Emanuela, et al.
Published: (2026)

Simulation-Based Segmentation of Blood Vessels in Cerebral 3D OCTA Images
by: Wittmann, Bastian, et al.
Published: (2024)

Segmentation and Characterization of Macerated Fibers and Vessels Using Deep Learning
by: Qamar, Saqib, et al.
Published: (2024)

Leveraging Frequency Domain Learning in 3D Vessel Segmentation
by: Wang, Xinyuan, et al.
Published: (2024)

Dimensionality Reduction and Nearest Neighbors for Improving Out-of-Distribution Detection in Medical Image Segmentation
by: Woodland, McKell, et al.
Published: (2024)

Improving Generalization Performance of YOLOv8 for Camera Trap Object Detection
by: Subedi, Aroj
Published: (2024)

Adaptive Object Detection for Indoor Navigation Assistance: A Performance Evaluation of Real-Time Algorithms
by: Pratap, Abhinav, et al.
Published: (2025)

Improve Multi-Modal Embedding Learning via Explicit Hard Negative Gradient Amplifying
by: Xue, Youze, et al.
Published: (2025)

Evaluation of Out-of-Distribution Detection Performance on Autonomous Driving Datasets
by: Henriksson, Jens, et al.
Published: (2024)

Benchmarking Retinal Blood Vessel Segmentation Models for Cross-Dataset and Cross-Disease Generalization
by: Fadugba, Jeremiah, et al.
Published: (2024)

vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation
by: Wittmann, Bastian, et al.
Published: (2024)

Hard Cases Detection in Motion Prediction by Vision-Language Foundation Models
by: Yang, Yi, et al.
Published: (2024)

Improving Object Detection Performance through YOLOv8: A Comprehensive Training and Evaluation Study
by: Poureskandar, Rana, et al.
Published: (2025)

DeNVeR: Deformable Neural Vessel Representations for Unsupervised Video Vessel Segmentation
by: Wu, Chun-Hung, et al.
Published: (2024)

Segment Anything Model for Grain Characterization in Hard Drive Design
by: Nichols, Kai, et al.
Published: (2024)

Topology-Aware Loss for Aorta and Great Vessel Segmentation in Computed Tomography Images
by: Ozcelik, Seher, et al.
Published: (2023)

Improved Segmentation of Polyps and Visual Explainability Analysis
by: Asare, Akwasi, et al.
Published: (2025)

Effect of Input Resolution on Retinal Vessel Segmentation Performance: An Empirical Study Across Five Datasets
by: R, Amarnath
Published: (2026)

VesselRW: Weakly Supervised Subcutaneous Vessel Segmentation via Learned Random Walk Propagation
by: Siddiqui, Ayaan Nooruddin, et al.
Published: (2025)

MLV$^2$-Net: Rater-Based Majority-Label Voting for Consistent Meningeal Lymphatic Vessel Segmentation
by: Bongratz, Fabian, et al.
Published: (2024)

Improving Vessel Segmentation with Multi-Task Learning and Auxiliary Data Available Only During Model Training
by: Sobotka, Daniel, et al.
Published: (2025)

Evaluating Terrain-Dependent Performance for Martian Frost Detection in Visible Satellite Observations
by: Doran, Gary, et al.
Published: (2024)

Generalizable Blood Cell Detection via Unified Dataset and Faster R-CNN
by: Sahay, Siddharth
Published: (2025)

Meply: A Large-scale Dataset and Baseline Evaluations for Metastatic Perirectal Lymph Node Detection and Segmentation
by: Guo, Weidong, et al.
Published: (2024)

Hierarchical Part-based Generative Model for Realistic 3D Blood Vessel
by: Chen, Siqi, et al.
Published: (2025)

RSF-Conv: Rotation-and-Scale Equivariant Fourier Parameterized Convolution for Retinal Vessel Segmentation
by: Sun, Zihong, et al.
Published: (2023)

Laplacian Segmentation Networks Improve Epistemic Uncertainty Quantification
by: Zepf, Kilian, et al.
Published: (2023)