Papers Anatomical Landmark Detection
“Anatomical Landmark Detection” 태그가 달린 논문 29편 · 필터 해제
MUPAX: Multidimensional Problem Agnostic eXplainable AI
Robust XAI techniques should ideally be simultaneously deterministic, model agnostic, and guaranteed to converge. We propose MULTIDIMENSIONAL PROBLEM AGNOSTIC EXPLAINABLE AI (MUPAX), a deterministic, model agnostic expla…
Anatomical Landmark DetectionAudio ClassificationBenchmarkingFeature Importance+3Landmark Detection for Medical Images using a General-purpose Segmentation Model
Radiographic images are a cornerstone of medical diagnostics in orthopaedics, with anatomical landmark detection serving as a crucial intermediate step for information extraction. General-purpose foundational segmentatio…
Anatomical Landmark DetectionDiagnosticHYATT-Net is Grand: A Hybrid Attention Network for Performant Anatomical Landmark Detection
Anatomical landmark detection (ALD) from a medical image is crucial for a wide array of clinical applications. While existing methods achieve quite some success in ALD, they often struggle to balance global context with …
Anatomical Landmark DetectionAnatomyComputational EfficiencyReliability of deep learning models for anatomical landmark detection: The role of inter-rater variability
Automated detection of anatomical landmarks plays a crucial role in many diagnostic and surgical applications. Progresses in deep learning (DL) methods have resulted in significant performance enhancement in tasks relate…
Anatomical Landmark DetectionDiagnosticCABLD: Contrast-Agnostic Brain Landmark Detection with Consistency-Based Regularization
Anatomical landmark detection in medical images is essential for various clinical and research applications, including disease diagnosis and surgical planning. However, manual landmark annotation is time-consuming and re…
Anatomical Landmark DetectionBrain landmark detectionImage RegistrationMammographic Breast Positioning Assessment via Deep Learning
Breast cancer remains a leading cause of cancer-related deaths among women worldwide, with mammography screening as the most effective method for the early detection. Ensuring proper positioning in mammography is critica…
Anatomical Landmark DetectionBreast Tissue IdentificationDeep LearningDiagnostic+1Salt & Pepper Heatmaps: Diffusion-informed Landmark Detection Strategy
Anatomical Landmark Detection is the process of identifying key areas of an image for clinical measurements. Each landmark is a single ground truth point labelled by a clinician. A machine learning model predicts the loc…
Anatomical Landmark DetectionSemantic SegmentationFM-OSD: Foundation Model-Enabled One-Shot Detection of Anatomical Landmarks
One-shot detection of anatomical landmarks is gaining significant attention for its efficiency in using minimal labeled data to produce promising results. However, the success of current methods heavily relies on the emp…
Anatomical Landmark DetectionUnsupervised Domain Adaptation for Anatomical Landmark Detection
Recently, anatomical landmark detection has achieved great progresses on single-domain data, which usually assumes training and test sets are from the same domain. However, such an assumption is not always true in practi…
Anatomical Landmark DetectionDomain AdaptationUnsupervised Domain AdaptationTowards multi-modal anatomical landmark detection for ultrasound-guided brain tumor resection with contrastive learning
Homologous anatomical landmarks between medical scans are instrumental in quantitative assessment of image registration quality in various clinical applications, such as MRI-ultrasound registration for tissue shift corre…
Anatomical Landmark DetectionContrastive LearningImage RegistrationCoordinated Transformer with Position \& Sample-aware Central Loss for Anatomical Landmark Detection
Heatmap-based anatomical landmark detection is still facing two unresolved challenges: 1) inability to accurately evaluate the distribution of heatmap; 2) inability to effectively exploit global spatial structure informa…
Anatomical Landmark DetectionPositionRepresentation LearningUncertainty-aware U-Net for Medical Landmark Detection
Heatmap-based methods play an important role in anatomical landmark detection. However, most current heatmap-based methods assume that the distributions of all landmarks are the same and the distribution of each landmark…
Anatomical Landmark DetectionDATR: Domain-adaptive transformer for multi-domain landmark detection
Accurate anatomical landmark detection plays an increasingly vital role in medical image analysis. Although existing methods achieve satisfying performance, they are mostly based on CNN and specialized for a single domai…
Anatomical Landmark DetectionAnatomyMedical Image AnalysisPoint detection through multi-instance deep heatmap regression for sutures in endoscopy
Purpose: Mitral valve repair is a complex minimally invasive surgery of the heart valve. In this context, suture detection from endoscopic images is a highly relevant task that provides quantitative information to analys…
Anatomical Landmark DetectionregressionFeature Aggregation and Refinement Network for 2D AnatomicalLandmark Detection
Localization of anatomical landmarks is essential for clinical diagnosis, treatment planning, and research. In this paper, we propose a novel deep network, named feature aggregation and refinement network (FARNet), for t…
Anatomical Landmark DetectionregressionFacial Anatomical Landmark Detection using Regularized Transfer Learning with Application to Fetal Alcohol Syndrome Recognition
Fetal alcohol syndrome (FAS) caused by prenatal alcohol exposure can result in a series of cranio-facial anomalies, and behavioral and neurocognitive problems. Current diagnosis of FAS is typically done by identifying a …
Anatomical Landmark DetectionFacial Landmark DetectionTransfer LearningDeep Learning-based Biological Anatomical Landmark Detection in Colonoscopy Videos
Colonoscopy is a standard imaging tool for visualizing the entire gastrointestinal (GI) tract of patients to capture lesion areas. However, it takes the clinicians excessive time to review a large number of images extrac…
Anatomical Landmark DetectionDeep LearningSemi-supervised Anatomical Landmark Detection via Shape-regulated Self-training
Well-annotated medical images are costly and sometimes even impossible to acquire, hindering landmark detection accuracy to some extent. Semi-supervised learning alleviates the reliance on large-scale annotated data by e…
Anatomical Landmark DetectionLearn Fine-grained Adaptive Loss for Multiple Anatomical Landmark Detection in Medical Images
Automatic and accurate detection of anatomical landmarks is an essential operation in medical image analysis with a multitude of applications. Recent deep learning methods have improved results by directly encoding the a…
Anatomical Landmark DetectionAnatomyMedical Image AnalysisReinforcement Learning (RL)You Only Learn Once: Universal Anatomical Landmark Detection
Detecting anatomical landmarks in medical images plays an essential role in understanding the anatomy and planning automated processing. In recent years, a variety of deep neural network methods have been developed to de…
Anatomical Landmark DetectionAnatomy