Clip in medical imaging: A comprehensive survey
Contrastive Language-Image Pre-training (CLIP), a simple yet effective pre-training
paradigm, successfully introduces text supervision to vision models. It has shown promising …
paradigm, successfully introduces text supervision to vision models. It has shown promising …
Spineclue: Automatic vertebrae identification using contrastive learning and uncertainty estimation
Vertebrae identification in arbitrary fields-of-view plays a crucial role in diagnosing spine
disease. Most spine CT contain only local regions, such as the neck, chest, and abdomen …
disease. Most spine CT contain only local regions, such as the neck, chest, and abdomen …
Semantics and instance interactive learning for labeling and segmentation of vertebrae in CT images
Automatically labeling and segmenting vertebrae in 3D CT images compose a complex
multi-task problem. Current methods progressively conduct vertebra labeling and semantic …
multi-task problem. Current methods progressively conduct vertebra labeling and semantic …
SLoRD: Structural Low-Rank Descriptors for Shape Consistency in Vertebrae Segmentation
Automatic and precise multi-class vertebrae segmentation from CT images is crucial for
various clinical applications. However, due to a lack of explicit consistency constraints …
various clinical applications. However, due to a lack of explicit consistency constraints …
Explainable Vertebral Fracture Analysis with Uncertainty Estimation Using Differentiable Rule-Based Classification
V Wåhlstrand Skärström, L Johansson, J Alvén… - … Conference on Medical …, 2024 - Springer
We present a novel method for explainable vertebral fracture assessment (XVFA) in low-
dose radiographs using deep neural networks, incorporating vertebra detection and …
dose radiographs using deep neural networks, incorporating vertebra detection and …
VertFound: Synergizing Semantic and Spatial Understanding for Fine-Grained Vertebrae Classification via Foundation Models
Achieving automated vertebrae classification in spine images is a crucial yet challenging
task due to the repetitive nature of adjacent vertebrae and limited fields of view (FoV) …
task due to the repetitive nature of adjacent vertebrae and limited fields of view (FoV) …
Explainable vertebral fracture analysis with uncertainty estimation using differentiable rule-based classification
VW Skärström, L Johansson, J Alvén… - arXiv preprint arXiv …, 2024 - arxiv.org
We present a novel method for explainable vertebral fracture assessment (XVFA) in low-
dose radiographs using deep neural networks, incorporating vertebra detection and …
dose radiographs using deep neural networks, incorporating vertebra detection and …
Med-query: Steerable parsing of 9-dof medical anatomies with query embedding
Automatic parsing of human anatomies at the instance-level from 3D computed tomography
(CT) is a prerequisite step for many clinical applications. The presence of pathologies …
(CT) is a prerequisite step for many clinical applications. The presence of pathologies …