Cover Image

Sparse Anatomical Prompt Semi-Supervised Learning with Masked Image Modeling for CBCT Tooth Segmentation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Dai, Pengyu, Ou, Yafei, Yang, Yuqiao, Liu, Yang, Zhao, Yue
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition I.4.6
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

Leveraging CORAL-Correlation Consistency Network for Semi-Supervised Left Atrium MRI Segmentation
by: Li, Xinze, et al.
Published: (2024)

CLAPS: A CLIP-Unified Auto-Prompt Segmentation for Multi-Modal Retinal Imaging
by: Zhao, Zhihao, et al.
Published: (2025)

PrevMatch: Revisiting and Maximizing Temporal Knowledge in Semi-Supervised Semantic Segmentation
by: Shin, Wooseok, et al.
Published: (2024)

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

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

Leveraging Out-of-Distribution Unlabeled Images: Semi-Supervised Semantic Segmentation with an Open-Vocabulary Model
by: Shin, Wooseok, et al.
Published: (2025)

Pathological Primitive Segmentation Based on Visual Foundation Model with Zero-Shot Mask Generation
by: Arnob, Abu Bakor Hayat, et al.
Published: (2024)

Dense Self-Supervised Learning for Medical Image Segmentation
by: Seince, Maxime, et al.
Published: (2024)

Learning Image-based Tree Crown Segmentation from Enhanced Lidar-based Pseudo-labels
by: Pesonen, Julius, et al.
Published: (2026)

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

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

Language-guided Scale-aware MedSegmentor for Lesion Segmentation in Medical Imaging
by: Ouyang, Shuyi, et al.
Published: (2024)

SRSNetwork: Siamese Reconstruction-Segmentation Networks based on Dynamic-Parameter Convolution
by: Nian, Bingkun, et al.
Published: (2023)

Multi-centric AI Model for Unruptured Intracranial Aneurysm Detection and Volumetric Segmentation in 3D TOF-MRI
by: Indrakanti, Ashraya K., et al.
Published: (2024)

Leveraging Causal Reasoning Method for Explaining Medical Image Segmentation Models
by: Jiang, Limai, et al.
Published: (2026)

CMTNet: Convolutional Meets Transformer Network for Hyperspectral Images Classification
by: Guo, Faxu, et al.
Published: (2024)

RepAir: A Framework for Airway Segmentation and Discontinuity Correction in CT
by: Oyer, John M., et al.
Published: (2025)

SupLID: Geometrical Guidance for Out-of-Distribution Detection in Semantic Segmentation
by: Udayangani, Nimeshika, et al.
Published: (2025)

Training a Student Expert via Semi-Supervised Foundation Model Distillation
by: Taghavi, Pardis, et al.
Published: (2026)

Learning Wall Segmentation in 3D Vessel Trees using Sparse Annotations
by: Rahlfs, Hinrich, et al.
Published: (2025)

Amodal SAM: A Unified Amodal Segmentation Framework with Generalization
by: Zhang, Bo, et al.
Published: (2026)

A Second-Order Attention Mechanism For Prostate Cancer Segmentation and Detection in Bi-Parametric MRI
by: Ortiz, Mateo, et al.
Published: (2025)

Grouped Discrete Representation Guides Object-Centric Learning
by: Zhao, Rongzhen, et al.
Published: (2024)

Scalpel-SAM: A Semi-Supervised Paradigm for Adapting SAM to Infrared Small Object Detection
by: Liu, Zihan, et al.
Published: (2025)

Adversarial Robustness of Deep Learning-Based Thyroid Nodule Segmentation in Ultrasound
by: Dietrich, Nicholas, et al.
Published: (2026)

Topology and Intersection-Union Constrained Loss Function for Multi-Region Anatomical Segmentation in Ocular Images
by: Xia, Ruiyu, et al.
Published: (2024)

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

Exploring Zero-Shot Anomaly Detection with CLIP in Medical Imaging: Are We There Yet?
by: Marzullo, Aldo, et al.
Published: (2024)

Supervised Embedded Methods for Hyperspectral Band Selection
by: Zimmer, Yaniv, et al.
Published: (2024)

SPRITETOMESH: Automatic Mesh Generation for 2D Skeletal Animation Using Learned Segmentation and Contour-Aware Vertex Placement
by: Gimbert, Bastien
Published: (2026)

SWDL: Stratum-Wise Difference Learning with Deep Laplacian Pyramid for Semi-Supervised 3D Intracranial Hemorrhage Segmentation
by: Wang, Cheng, et al.
Published: (2025)

High-Throughput Phenotyping using Computer Vision and Machine Learning
by: Singhvi, Vivaan, et al.
Published: (2024)

Mapping and Classification of Trees Outside Forests using Deep Learning
by: Lucas, Moritz, et al.
Published: (2025)

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

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
by: Kiprono, Moses
Published: (2025)

Prompt-Driven Building Footprint Extraction in Aerial Images with Offset-Building Model
by: Li, Kai, et al.
Published: (2023)

Microsurgical Instrument Segmentation for Robot-Assisted Surgery
by: Jeong, Tae Kyeong, et al.
Published: (2025)

Multimodal Posterior Sampling-based Uncertainty in PD-L1 Segmentation from H&E Images
by: Kinakh, Roman, et al.
Published: (2025)