Cover Image

A kinetic approach to consensus-based segmentation of biomedical images

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Cabini, Raffaella Fiamma, Pichiecchio, Anna, Lascialfari, Alessandro, Figini, Silvia, Zanella, Mattia
Format:	Preprint
Published:	2022
Subjects:	Image and Video Processing Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Understanding the Impact of Evaluation Metrics in Kinetic Models for Consensus-based Segmentation
by: Cabini, Raffaella Fiamma, et al.
Published: (2024)

Blood vessel segmentation in en-face OCTA images: a frequency based method
by: Breger, Anna, et al.
Published: (2021)

Framework for lung CT image segmentation based on UNet++
by: Ziang, Hao, et al.
Published: (2025)

Deep Anatomical Federated Network (Dafne): An open client-server framework for the continuous, collaborative improvement of deep learning-based medical image segmentation
by: Santini, Francesco, et al.
Published: (2023)

A hybrid approach for improving U-Net variants in medical image segmentation
by: Gupta, Aitik, et al.
Published: (2023)

Bayesian Uncertainty-Aware MRI Reconstruction
by: Eldaly, Ahmed Karam, et al.
Published: (2026)

Deep mineralogical segmentation of thin section images based on QEMSCAN maps
by: de Mello, Jean Pablo Vieira, et al.
Published: (2025)

On generalisability of segment anything model for nuclear instance segmentation in histology images
by: Xu, Kesi, et al.
Published: (2024)

Mitosis detection in domain shift scenarios: a Mamba-based approach
by: Percannella, Gennaro, et al.
Published: (2025)

MOSformer: Momentum encoder-based inter-slice fusion transformer for medical image segmentation
by: Huang, De-Xing, et al.
Published: (2024)

Are foundation models efficient for medical image segmentation?
by: Ferreira, Danielle, et al.
Published: (2023)

Useful nonrobust features are ubiquitous in biomedical images
by: Mouton, Coenraad, et al.
Published: (2026)

Improved Unet model for brain tumor image segmentation based on ASPP-coordinate attention mechanism
by: Wang, Zixuan, et al.
Published: (2024)

Contour-weighted loss for class-imbalanced image segmentation
by: Huang, Zhhengyong, et al.
Published: (2024)

HyperSpace: Hypernetworks for spacing-adaptive image segmentation
by: Joutard, Samuel, et al.
Published: (2024)

Shape-intensity knowledge distillation for robust medical image segmentation
by: Dong, Wenhui, et al.
Published: (2024)

Improving the generalization of deep learning models in the segmentation of mammography images
by: Hurtado, Jan, et al.
Published: (2025)

Super-resolution of biomedical volumes with 2D supervision
by: Jiang, Cheng, et al.
Published: (2024)

Fighting the scanner effect in brain MRI segmentation with a progressive level-of-detail network trained on multi-site data
by: Svanera, Michele, et al.
Published: (2022)

Crop and Couple: cardiac image segmentation using interlinked specialist networks
by: Khan, Abbas, et al.
Published: (2024)

Automated quality assessment using appearance-based simulations and hippocampus segmentation on low-field paediatric brain MR images
by: Sundaresan, Vaanathi, et al.
Published: (2024)

Multi-temporal crack segmentation in concrete structures using deep learning approaches
by: Harb, Said, et al.
Published: (2024)

Variable-size Symmetry-based Graph Fourier Transforms for image compression
by: Gnutti, Alessandro, et al.
Published: (2024)

Switched auxiliary loss for robust training of transformer models for histopathological image segmentation
by: Hussain, Mustaffa, et al.
Published: (2023)

Text-guided multi-stage cross-perception network for medical image segmentation
by: Chen, Gaoyu, et al.
Published: (2025)

Conditional diffusion model with spatial attention and latent embedding for medical image segmentation
by: Hejrati, Behzad, et al.
Published: (2025)

Lumbar spine segmentation in MR images: a dataset and a public benchmark
by: van der Graaf, Jasper W., et al.
Published: (2023)

A consensus-constrained parsimonious Gaussian mixture model for clustering hyperspectral images
by: Babu, Ganesh, et al.
Published: (2024)

Synthetic magnetic resonance images for domain adaptation: Application to fetal brain tissue segmentation
by: de Dumast, Priscille, et al.
Published: (2021)

Volumetric medical image segmentation through dual self-distillation in U-shaped networks
by: Banerjee, Soumyanil, et al.
Published: (2023)

End-to-end autoencoding architecture for the simultaneous generation of medical images and corresponding segmentation masks
by: Kebaili, Aghiles, et al.
Published: (2023)

Deep evidential fusion with uncertainty quantification and contextual discounting for multimodal medical image segmentation
by: Huang, Ling, et al.
Published: (2023)

A 3D generative model of pathological multi-modal MR images and segmentations
by: Fernandez, Virginia, et al.
Published: (2023)

Continuous and complete liver vessel segmentation with graph-attention guided diffusion
by: Zhang, Xiaotong, et al.
Published: (2024)

Alternative Learning Paradigms for Image Quality Transfer
by: Eldaly, Ahmed Karam, et al.
Published: (2024)

DmADs-Net: Dense multiscale attention and depth-supervised network for medical image segmentation
by: Fu, Zhaojin, et al.
Published: (2024)

UD-Mamba: A pixel-level uncertainty-driven Mamba model for medical image segmentation
by: Zhao, Weiren, et al.
Published: (2025)

NUDF: Neural Unsigned Distance Fields for high resolution 3D medical image segmentation
by: Sørensen, Kristine, et al.
Published: (2025)

Mobile U-ViT: Revisiting large kernel and U-shaped ViT for efficient medical image segmentation
by: Tang, Fenghe, et al.
Published: (2025)

Self-supervised learning improves robustness of deep learning lung tumor segmentation to CT imaging differences
by: Jiang, Jue, et al.
Published: (2024)