Imagen de Portada

Dense Self-Supervised Learning for Medical Image Segmentation

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Seince, Maxime, Folgoc, Loic Le, de Souza, Luiz Augusto Facury, Angelini, Elsa
Formato:	Preprint
Publicado:	2024
Materias:	Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning I.4.6; I.4.10
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

HySparK: Hybrid Sparse Masking for Large Scale Medical Image Pre-Training
por: Tang, Fenghe, et al.
Publicado: (2024)

A Hierarchical Self-Consistent Regularization Approach to Satellite Image Time Series Classification
por: Weikmann, Giulio, et al.
Publicado: (2025)

Learning Hierarchical Image Segmentation For Recognition and By Recognition
por: Ke, Tsung-Wei, et al.
Publicado: (2022)

Feature-Augmented Deep Networks for Multiscale Building Segmentation in High-Resolution UAV and Satellite Imagery
por: Maniyar, Chintan B., et al.
Publicado: (2025)

Learning 3D object-centric representation through prediction
por: Day, John, et al.
Publicado: (2024)

Generalizable Multiscale Segmentation of Heterogeneous Map Collections
por: Petitpierre, Remi
Publicado: (2026)

Differentiable Hierarchical Visual Tokenization
por: Aasan, Marius, et al.
Publicado: (2025)

Towards Onboard Continuous Change Detection for Floods
por: Kyselica, Daniel, et al.
Publicado: (2026)

Label-independent hyperparameter-free self-supervised single-view deep subspace clustering
por: Sindicic, Lovro, et al.
Publicado: (2025)

Prototype Contrastive Consistency Learning for Semi-Supervised Medical Image Segmentation
por: He, Shihuan, et al.
Publicado: (2025)

CCVA-FL: Cross-Client Variations Adaptive Federated Learning for Medical Imaging
por: Gupta, Sunny, et al.
Publicado: (2024)

Semi-Supervised Segmentation via Embedding Matching
por: Xie, Weiyi, et al.
Publicado: (2024)

Taming the Tail: Leveraging Asymmetric Loss and Pade Approximation to Overcome Medical Image Long-Tailed Class Imbalance
por: Kashyap, Pankhi, et al.
Publicado: (2024)

FOCUS on Contamination: Hydrology-Informed Noise-Aware Learning for Geospatial PFAS Mapping
por: Khan, Jowaria, et al.
Publicado: (2025)

Hierarchical Image-Guided 3D Point Cloud Segmentation in Industrial Scenes via Multi-View Bayesian Fusion
por: Zhu, Yu, et al.
Publicado: (2025)

Uncertainty quantification for White Matter Hyperintensity segmentation detects silent failures and improves automated Fazekas quantification
por: Philps, Ben, et al.
Publicado: (2024)

HSDA: High-frequency Shuffle Data Augmentation for Bird's-Eye-View Map Segmentation
por: Glisson, Calvin, et al.
Publicado: (2024)

WaveMix: A Resource-efficient Neural Network for Image Analysis
por: Jeevan, Pranav, et al.
Publicado: (2022)

FunKAN: Functional Kolmogorov-Arnold Network for Medical Image Enhancement and Segmentation
por: Penkin, Maksim, et al.
Publicado: (2025)

WoundNet-Ensemble: A Novel IoMT System Integrating Self-Supervised Deep Learning and Multi-Model Fusion for Automated, High-Accuracy Wound Classification and Healing Progression Monitoring
por: Kiprono, Moses
Publicado: (2025)

SAM Fewshot Finetuning for Anatomical Segmentation in Medical Images
por: Xie, Weiyi, et al.
Publicado: (2024)

Interpretable label-free self-guided subspace clustering
por: Kopriva, Ivica
Publicado: (2024)

Sparse Concept Bottleneck Models: Gumbel Tricks in Contrastive Learning
por: Semenov, Andrei, et al.
Publicado: (2024)

Normalizing Flow-Based Metric for Image Generation
por: Jeevan, Pranav, et al.
Publicado: (2024)

A Lightweight and Extensible Cell Segmentation and Classification Model for Whole Slide Images
por: Shvetsov, Nikita, et al.
Publicado: (2025)

Exploiting Causality Signals in Medical Images: A Pilot Study with Empirical Results
por: Carloni, Gianluca, et al.
Publicado: (2023)

Evolving Medical Imaging Agents via Experience-driven Self-skill Discovery
por: Fan, Lin, et al.
Publicado: (2026)

AttEntropy: On the Generalization Ability of Supervised Semantic Segmentation Transformers to New Objects in New Domains
por: Lis, Krzysztof, et al.
Publicado: (2022)

Frequency-Decomposed INR for NIR-Assisted Low-Light RGB Image Denoising
por: Shi, Ligen, et al.
Publicado: (2026)

Adapting SAM with Dynamic Similarity Graphs for Few-Shot Parameter-Efficient Small Dense Object Detection: A Case Study of Chickpea Pods in Field Conditions
por: Jiang, Xintong, et al.
Publicado: (2025)

Pointing-Based Object Recognition
por: Hajdúch, Lukáš, et al.
Publicado: (2026)

Canonical Space Representation for 4D Panoptic Segmentation of Articulated Objects
por: Gomes, Manuel, et al.
Publicado: (2025)

Sat-JEPA-Diff: Bridging Self-Supervised Learning and Generative Diffusion for Remote Sensing
por: Komurcu, Kursat, et al.
Publicado: (2026)

Which Backbone to Use: A Resource-efficient Domain Specific Comparison for Computer Vision
por: Jeevan, Pranav, et al.
Publicado: (2024)

Evaluation of Attention Mechanisms in U-Net Architectures for Semantic Segmentation of Brazilian Rock Art Petroglyphs
por: Melo, Leonardi, et al.
Publicado: (2025)

Polygonizing Roof Segments from High-Resolution Aerial Images Using Yolov8-Based Edge Detection
por: Mei, Qipeng, et al.
Publicado: (2025)

treeX: Unsupervised Tree Instance Segmentation in Dense Forest Point Clouds
por: Burmeister, Josafat-Mattias, et al.
Publicado: (2025)

Studying Maps at Scale: A Digital Investigation of Cartography and the Evolution of Figuration
por: Petitpierre, Remi
Publicado: (2025)

UnCageNet: Tracking and Pose Estimation of Caged Animal
por: Dutta, Sayak, et al.
Publicado: (2025)

SPMamba-YOLO: An Underwater Object Detection Network Based on Multi-Scale Feature Enhancement and Global Context Modeling
por: Liao, Guanghao, et al.
Publicado: (2026)