Mediclip: Adapting clip for few-shot medical image anomaly detection
X Zhang, M Xu, D Qiu, R Yan, N Lang… - … Conference on Medical …, 2024 - Springer
In the field of medical decision-making, precise anomaly detection in medical imaging plays
a pivotal role in aiding clinicians. However, previous work is reliant on large-scale datasets …
a pivotal role in aiding clinicians. However, previous work is reliant on large-scale datasets …
Ensembled Cold-Diffusion Restorations for Unsupervised Anomaly Detection
Abstract Unsupervised Anomaly Detection (UAD) methods aim to identify anomalies in test
samples comparing them with a normative distribution learned from a dataset known to be …
samples comparing them with a normative distribution learned from a dataset known to be …
Ensembled Cold-Diffusion Restorations for Unsupervised Anomaly Detection
Unsupervised Anomaly Detection (UAD) methods aim to identify anomalies in test samples
comparing them with a normative distribution learned from a dataset known to be anomaly …
comparing them with a normative distribution learned from a dataset known to be anomaly …
Position-Guided Prompt Learning for Anomaly Detection in Chest X-Rays
Anomaly detection in chest X-rays is a critical task. Most methods mainly model the
distribution of normal images, and then regard significant deviation from normal distribution …
distribution of normal images, and then regard significant deviation from normal distribution …
Enhancing Reconstruction-Based Out-of-Distribution Detection in Brain MRI with Model and Metric Ensembles
E Huijben, S Amirrajab, JPW Pluim - arXiv preprint arXiv:2412.17586, 2024 - arxiv.org
Out-of-distribution (OOD) detection is crucial for safely deploying automated medical image
analysis systems, as abnormal patterns in images could hamper their performance …
analysis systems, as abnormal patterns in images could hamper their performance …
Image-Conditioned Diffusion Models for Medical Anomaly Detection
Generating pseudo-healthy reconstructions of images is an effective way to detect
anomalies, as identifying the differences between the reconstruction and the original can …
anomalies, as identifying the differences between the reconstruction and the original can …
FluidRegNet: Longitudinal registration of retinal OCT images with new pathological fluids
J Andresen, J Ehrhardt, C von der Burchard… - Medical Imaging with …, 2024 - openreview.net
Eye diseases such as the chronic central serous chorioretinopathy are characterized by fluid
deposits that alter the retina and impair vision. These fluids occur at irregular intervals and …
deposits that alter the retina and impair vision. These fluids occur at irregular intervals and …