Image de couverture de livre

Image Segmentation: Inducing graph-based learning

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Singh, Aryan, Van de Ven, Pepijn, Eising, Ciarán, Denny, Patrick
Format:	Preprint
Publié:	2025
Sujets:	Computer Vision and Pattern Recognition Image and Video Processing
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Subgraph Clustering and Atom Learning for Improved Image Classification
par: Singh, Aryan, et autres
Publié: (2024)

Surround-View Fisheye Optics in Computer Vision and Simulation: Survey and Challenges
par: Jakab, Daniel, et autres
Publié: (2024)

Leveraging Task-Specific Knowledge from LLM for Semi-Supervised 3D Medical Image Segmentation
par: Kumari, Suruchi, et autres
Publié: (2024)

HDRSplat: Gaussian Splatting for High Dynamic Range 3D Scene Reconstruction from Raw Images
par: Singh, Shreyas, et autres
Publié: (2024)

Leveraging Fixed and Dynamic Pseudo-labels for Semi-supervised Medical Image Segmentation
par: Kumari, Suruchi, et autres
Publié: (2024)

Diffusion-based Data Augmentation for Nuclei Image Segmentation
par: Yu, Xinyi, et autres
Publié: (2023)

Deconver: A Deconvolutional Network for Medical Image Segmentation
par: Ashtari, Pooya, et autres
Publié: (2025)

A Comparative Tutorial of the Histogram-based Image Segmentation Methods
par: Wang, ZhenZhou
Publié: (2025)

Exploiting the Segment Anything Model (SAM) for Lung Segmentation in Chest X-ray Images
par: de Carvalho, Gabriel Bellon, et autres
Publié: (2024)

Model Ensemble for Brain Tumor Segmentation in Magnetic Resonance Imaging
par: Capellán-Martín, Daniel, et autres
Publié: (2024)

CP-UNet: Contour-based Probabilistic Model for Medical Ultrasound Images Segmentation
par: Yu, Ruiguo, et autres
Publié: (2024)

GUI-based Pedicle Screw Planning on Fluoroscopic Images Utilizing Vertebral Segmentation
par: Maik, Vivek, et autres
Publié: (2024)

MoreStyle: Relax Low-frequency Constraint of Fourier-based Image Reconstruction in Generalizable Medical Image Segmentation
par: Zhao, Haoyu, et autres
Publié: (2024)

Segment Anything in Medical Images
par: Ma, Jun, et autres
Publié: (2023)

IDA-UIE: An Iterative Framework for Deep Network-based Degradation Aware Underwater Image Enhancement
par: Singh, Pranjali, et autres
Publié: (2024)

Style Content Decomposition-based Data Augmentation for Domain Generalizable Medical Image Segmentation
par: Shen, Zhiqiang, et autres
Publié: (2025)

VIViT: Variable-Input Vision Transformer Framework for 3D MR Image Segmentation
par: Das, Badhan Kumar, et autres
Publié: (2025)

Unpaired Image-to-Image Translation for Segmentation and Signal Unmixing
par: Andrejic, Nikola, et autres
Publié: (2025)

Q-Segment: Segmenting Images In-Sensor for Vessel-Based Medical Diagnosis
par: Bonazzi, Pietro, et autres
Publié: (2023)

Radiance Fields from Photons
par: Jungerman, Sacha, et autres
Publié: (2024)

FPGA-based Acceleration of Neural Network for Image Classification using Vitis AI
par: Li, Zhengdong, et autres
Publié: (2024)

Segmenting Medical Images with Limited Data
par: Liua, Zhaoshan, et autres
Publié: (2024)

VLSM-Ensemble: Ensembling CLIP-based Vision-Language Models for Enhanced Medical Image Segmentation
par: Dietlmeier, Julia, et autres
Publié: (2025)

CMU-Net: A Strong ConvMixer-based Medical Ultrasound Image Segmentation Network
par: Tang, Fenghe, et autres
Publié: (2022)

SEMU-Net: A Segmentation-based Corrector for Fabrication Process Variations of Nanophotonics with Microscopic Images
par: Azimi, Rambod, et autres
Publié: (2024)

Advancing Medical Image Segmentation with Mini-Net: A Lightweight Solution Tailored for Efficient Segmentation of Medical Images
par: Javed, Syed, et autres
Publié: (2024)

A better approach to diagnose retinal diseases: Combining our Segmentation-based Vascular Enhancement with deep learning features
par: Chen, Yuzhuo, et autres
Publié: (2024)

Segment Anything Model for Medical Image Segmentation: Current Applications and Future Directions
par: Zhang, Yichi, et autres
Publié: (2024)

DeSAM: Decoupled Segment Anything Model for Generalizable Medical Image Segmentation
par: Gao, Yifan, et autres
Publié: (2023)

Interactive Segmentation and Report Generation for CT Images
par: Gu, Yannian, et autres
Publié: (2025)

One-Prompt to Segment All Medical Images
par: Wu, Junde, et autres
Publié: (2023)

Real-time Neuron Segmentation for Voltage Imaging
par: Bando, Yosuke, et autres
Publié: (2024)

Segmentation Quality and Volumetric Accuracy in Medical Imaging
par: Zhang, Zheyuan, et autres
Publié: (2024)

Compositional Segmentation of Cardiac Images Leveraging Metadata
par: Khan, Abbas, et autres
Publié: (2024)

Foundation AI Model for Medical Image Segmentation
par: Bao, Rina, et autres
Publié: (2024)

Hierarchical Homogeneity-Based Superpixel Segmentation: Application to Hyperspectral Image Analysis
par: Ayres, Luciano Carvalho, et autres
Publié: (2024)

Enhancing Brain Tumor Segmentation Using Channel Attention and Transfer learning
par: Behzadpour, Majid, et autres
Publié: (2025)

Efficient MedSAMs: Segment Anything in Medical Images on Laptop
par: Ma, Jun, et autres
Publié: (2024)

RSAM-Seg: A SAM-based Approach with Prior Knowledge Integration for Remote Sensing Image Semantic Segmentation
par: Zhang, Jie, et autres
Publié: (2024)

Distillation Learning Guided by Image Reconstruction for One-Shot Medical Image Segmentation
par: Zhou, Feng, et autres
Publié: (2024)