Papers with Code 아카이브
Anatomical Landmark Detection
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Landmark Detection for Medical Images using a General-purpose Segmentation Model
HYATT-Net is Grand: A Hybrid Attention Network for Performant Anatomical Landmark Detection
CABLD: Contrast-Agnostic Brain Landmark Detection with Consistency-Based Regularization
Reliability of deep learning models for anatomical landmark detection: The role of inter-rater variability
Mammographic Breast Positioning Assessment via Deep Learning
Salt & Pepper Heatmaps: Diffusion-informed Landmark Detection Strategy
FM-OSD: Foundation Model-Enabled One-Shot Detection of Anatomical Landmarks
Unsupervised Domain Adaptation for Anatomical Landmark Detection
Towards multi-modal anatomical landmark detection for ultrasound-guided brain tumor resection with contrastive learning
Coordinated Transformer with Position \& Sample-aware Central Loss for Anatomical Landmark Detection
Uncertainty-aware U-Net for Medical Landmark Detection
DATR: Domain-adaptive transformer for multi-domain landmark detection
Point detection through multi-instance deep heatmap regression for sutures in endoscopy
Feature Aggregation and Refinement Network for 2D AnatomicalLandmark Detection
Facial Anatomical Landmark Detection using Regularized Transfer Learning with Application to Fetal Alcohol Syndrome Recognition
Deep Learning-based Biological Anatomical Landmark Detection in Colonoscopy Videos
Semi-supervised Anatomical Landmark Detection via Shape-regulated Self-training
Learn Fine-grained Adaptive Loss for Multiple Anatomical Landmark Detection in Medical Images
You Only Learn Once: Universal Anatomical Landmark Detection
Cross-Task Representation Learning for Anatomical Landmark Detection
Volumetric landmark detection with a multi-scale shift equivariant neural network
Sequential anatomy localization in fetal echocardiography videos
Inverse-Consistent Deep Networks for Unsupervised Deformable Image Registration
Attaining human-level performance with atlas location autocontext for anatomical landmark detection in 3D CT data
CNN-based Landmark Detection in Cardiac CTA Scans
DeepDRR -- A Catalyst for Machine Learning in Fluoroscopy-guided Procedures
X-ray-transform Invariant Anatomical Landmark Detection for Pelvic Trauma Surgery
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.