Cover Image

LNQ Challenge 2023: Learning Mediastinal Lymph Node Segmentation with a Probabilistic Lymph Node Atlas

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Engelson, Sofija, Ehrhardt, Jan, Kepp, Timo, Niemeijer, Joshua, Handels, Heinz
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Segmentation of Mediastinal Lymph Nodes in CT with Anatomical Priors
by: Mathai, Tejas Sudharshan, et al.
Published: (2024)

TSynD: Targeted Synthetic Data Generation for Enhanced Medical Image Classification
by: Niemeijer, Joshua, et al.
Published: (2024)

Uncertainty-Aware ControlNet: Bridging Domain Gaps with Synthetic Image Generation
by: Niemeijer, Joshua, et al.
Published: (2025)

Mask the Unknown: Assessing Different Strategies to Handle Weak Annotations in the MICCAI2023 Mediastinal Lymph Node Quantification Challenge
by: Fischer, Stefan M., et al.
Published: (2024)

LNQ 2023 challenge: Benchmark of weakly-supervised techniques for mediastinal lymph node quantification
by: Dorent, Reuben, et al.
Published: (2024)

SDF-Net: A Hybrid Detection Network for Mediastinal Lymph Node Detection on Contrast CT Images
by: Xiong, Jiuli, et al.
Published: (2024)

Anatomical Conditioning for Contrastive Unpaired Image-to-Image Translation of Optical Coherence Tomography Images
by: Seibel, Marc S., et al.
Published: (2024)

The Application of Deep Learning for Lymph Node Segmentation: A Systematic Review
by: Qu, Jingguo, et al.
Published: (2025)

CT Synthesis with Conditional Diffusion Models for Abdominal Lymph Node Segmentation
by: Yu, Yongrui, et al.
Published: (2024)

Don't Mind the Gaps: Implicit Neural Representations for Resolution-Agnostic Retinal OCT Analysis
by: Kahrs, Bennet, et al.
Published: (2026)

Biophysics-Enhanced Neural Representations for Patient-Specific Respiratory Motion Modeling
by: Boysen, Jan, et al.
Published: (2026)

Deep Learning-Based Auto-Segmentation of Planning Target Volume for Total Marrow and Lymph Node Irradiation
by: Brioso, Ricardo Coimbra, et al.
Published: (2024)

Dynamic Gradient Sparsification Training for Few-Shot Fine-tuning of CT Lymph Node Segmentation Foundation Model
by: Luo, Zihao, et al.
Published: (2025)

Multi-modal Learning with Missing Modality in Predicting Axillary Lymph Node Metastasis
by: Zhang, Shichuan, et al.
Published: (2024)

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

LN-Gen: Rectal Lymph Nodes Generation via Anatomical Features
by: Guo, Weidong, et al.
Published: (2024)

Weakly Supervised Lymph Nodes Segmentation Based on Partial Instance Annotations with Pre-trained Dual-branch Network and Pseudo Label Learning
by: Wang, Litingyu, et al.
Published: (2024)

Universal Lymph Node Detection in Multiparametric MRI with Selective Augmentation
by: Mathai, Tejas Sudharshan, et al.
Published: (2025)

Pathology-Informed Latent Diffusion Model for Anomaly Detection in Lymph Node Metastasis
by: Wang, Jiamu, et al.
Published: (2025)

Towards a Comprehensive Benchmark for Pathological Lymph Node Metastasis in Breast Cancer Sections
by: Ling, Xitong, et al.
Published: (2024)

CAFusion: Controllable Anatomical Synthesis of Perirectal Lymph Nodes via SDF-guided Diffusion
by: Guo, Weidong, et al.
Published: (2025)

Segmentation of Retinal Low-Cost Optical Coherence Tomography Images using Deep Learning
by: Kepp, Timo, et al.
Published: (2020)

Effective Lymph Nodes Detection in CT Scans Using Location Debiased Query Selection and Contrastive Query Representation in Transformer
by: Wang, Yirui, et al.
Published: (2024)

From Slices to Sequences: Autoregressive Tracking Transformer for Cohesive and Consistent 3D Lymph Node Detection in CT Scans
by: Yu, Qinji, et al.
Published: (2025)

MMFusion: Multi-modality Diffusion Model for Lymph Node Metastasis Diagnosis in Esophageal Cancer
by: Wu, Chengyu, et al.
Published: (2024)

Interpretable Prediction of Lymph Node Metastasis in Rectal Cancer MRI Using Variational Autoencoders
by: Keel, Benjamin, et al.
Published: (2025)

DECT-based Space-Squeeze Method for Multi-Class Classification of Metastatic Lymph Nodes in Breast Cancer
by: Jiang, Hai, et al.
Published: (2025)

SegRap2025: A Benchmark of Gross Tumor Volume and Lymph Node Clinical Target Volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma
by: Fu, Jia, et al.
Published: (2026)

Investigating Gender Bias in Lymph-node Segmentation with Anatomical Priors
by: Brioso, Ricardo Coimbra, et al.
Published: (2024)

Learning to Reason: Targeted Knowledge Discovery and Fuzzy Logic Update for Robust Image Recognition
by: Srinivas, Gurucharan, et al.
Published: (2026)

LymphAtlas- A Unified Multimodal Lymphoma Imaging Repository Delivering AI-Enhanced Diagnostic Insight
by: Ding, Jiajun, et al.
Published: (2025)

Test-Time Modification: Inverse Domain Transformation for Robust Perception
by: Jadon, Arpit, et al.
Published: (2025)

Hypergraph Vision Transformers: Images are More than Nodes, More than Edges
by: Fixelle, Joshua
Published: (2025)

Subspace Node Pruning
by: Offergeld, Joshua, et al.
Published: (2024)

MARS: Mask Attention Refinement with Sequential Quadtree Nodes for Car Damage Instance Segmentation
by: Panboonyuen, Teerapong, et al.
Published: (2023)

Learning Adaptive Node Selection with External Attention for Human Interaction Recognition
by: Pang, Chen, et al.
Published: (2025)

Patch as Node: Human-Centric Graph Representation Learning for Multimodal Action Recognition
by: Liang, Zeyu, et al.
Published: (2025)

HiGDA: Hierarchical Graph of Nodes to Learn Local-to-Global Topology for Semi-Supervised Domain Adaptation
by: Ngo, Ba Hung, et al.
Published: (2024)

Node-RF: Learning Generalized Continuous Space-Time Scene Dynamics with Neural ODE-based NeRFs
by: Sarkar, Hiran, et al.
Published: (2026)

DiffAtlas: GenAI-fying Atlas Segmentation via Image-Mask Diffusion
by: Zhang, Hantao, et al.
Published: (2025)