Copertina

SDF-Net: A Hybrid Detection Network for Mediastinal Lymph Node Detection on Contrast CT Images

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Xiong, Jiuli, Mei, Lanzhuju, Liu, Jiameng, Shen, Dinggang, Xue, Zhong, Cao, Xiaohuan
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

3D Structure-guided Network for Tooth Alignment in 2D Photograph
di: Dou, Yulong, et al.
Pubblicazione: (2023)

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

LNQ Challenge 2023: Learning Mediastinal Lymph Node Segmentation with a Probabilistic Lymph Node Atlas
di: Engelson, Sofija, et al.
Pubblicazione: (2024)

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

Cephalometric Landmark Detection across Ages with Prototypical Network
di: Wu, Han, et al.
Pubblicazione: (2024)

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

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

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

ChatCAD+: Towards a Universal and Reliable Interactive CAD using LLMs
di: Zhao, Zihao, et al.
Pubblicazione: (2023)

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

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

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

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

Adapting Foundation Model for Dental Caries Detection with Dual-View Co-Training
di: Luo, Tao, et al.
Pubblicazione: (2025)

UW-SDF: Exploiting Hybrid Geometric Priors for Neural SDF Reconstruction from Underwater Multi-view Monocular Images
di: Chen, Zeyu, et al.
Pubblicazione: (2024)

LGE-Guided Cross-Modality Contrastive Learning for Gadolinium-Free Cardiomyopathy Screening in Cine CMR
di: Yuan, Siqing, et al.
Pubblicazione: (2025)

CT-Bound: Robust Boundary Detection From Noisy Images Via Hybrid Convolution and Transformer Neural Networks
di: Xu, Wei, et al.
Pubblicazione: (2024)

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

SDF2Net: Shallow to Deep Feature Fusion Network for PolSAR Image Classification
di: Alkhatib, Mohammed Q., et al.
Pubblicazione: (2024)

Towards General Text-guided Image Synthesis for Customized Multimodal Brain MRI Generation
di: Wang, Yulin, et al.
Pubblicazione: (2024)

DF-Net: The Digital Forensics Network for Image Forgery Detection
di: Fischinger, David, et al.
Pubblicazione: (2025)

nnMobileNet++: Towards Efficient Hybrid Networks for Retinal Image Analysis
di: Li, Xin, et al.
Pubblicazione: (2025)

End-to-end Triple-domain PET Enhancement: A Hybrid Denoising-and-reconstruction Framework for Reconstructing Standard-dose PET Images from Low-dose PET Sinograms
di: Jiang, Caiwen, et al.
Pubblicazione: (2024)

MARformer: An Efficient Metal Artifact Reduction Transformer for Dental CBCT Images
di: Shi, Yuxuan, et al.
Pubblicazione: (2023)

HYATT-Net is Grand: A Hybrid Attention Network for Performant Anatomical Landmark Detection
di: Zhou, Xiaoqian, et al.
Pubblicazione: (2024)

CP-VoteNet: Contrastive Prototypical VoteNet for Few-Shot Point Cloud Object Detection
di: Li, Xuejing, et al.
Pubblicazione: (2024)

Few-shot Oriented Object Detection with Memorable Contrastive Learning in Remote Sensing Images
di: Zhou, Jiawei, et al.
Pubblicazione: (2024)

Joint Neural SDF Reconstruction and Semantic Segmentation for CAD Models
di: Fan, Shen, et al.
Pubblicazione: (2025)

Balanced Hierarchical Contrastive Learning with Decoupled Queries for Fine-grained Object Detection in Remote Sensing Images
di: Chen, Jingzhou, et al.
Pubblicazione: (2025)

SDF-Net: Structure-Aware Disentangled Feature Learning for Opticall-SAR Ship Re-identification
di: Chen, Furui, et al.
Pubblicazione: (2026)

Hybrid Swin Attention Networks for Simultaneously Low-Dose PET and CT Denoising
di: Liu, Yichao, et al.
Pubblicazione: (2025)

FriendNet: Detection-Friendly Dehazing Network
di: Fan, Yihua, et al.
Pubblicazione: (2024)

Incomplete Multi-view Multi-label Classification via a Dual-level Contrastive Learning Framework
di: Nie, Bingyan, et al.
Pubblicazione: (2024)

PanDx: AI-assisted Early Detection of Pancreatic Ductal Adenocarcinoma on Contrast-enhanced CT
di: Liu, Han, et al.
Pubblicazione: (2025)

URA-Net: Uncertainty-Integrated Anomaly Perception and Restoration Attention Network for Unsupervised Anomaly Detection
di: Luo, Wei, et al.
Pubblicazione: (2026)

NoiseSDF2NoiseSDF: Learning Clean Neural Fields from Noisy Supervision
di: Wang, Tengkai, et al.
Pubblicazione: (2025)

Human Mesh Recovery from Arbitrary Multi-view Images
di: Li, Xiaoben, et al.
Pubblicazione: (2024)

ECC-PolypDet: Enhanced CenterNet with Contrastive Learning for Automatic Polyp Detection
di: Jiang, Yuncheng, et al.
Pubblicazione: (2024)

S$^3$POT: Contrast-Driven Face Occlusion Segmentation via Self-Supervised Prompt Learning
di: Wang, Lingsong, et al.
Pubblicazione: (2026)

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