The role of noise in denoising models for anomaly detection in medical images
Pathological brain lesions exhibit diverse appearance in brain images, in terms of intensity,
texture, shape, size, and location. Comprehensive sets of data and annotations are difficult …
texture, shape, size, and location. Comprehensive sets of data and annotations are difficult …
Patch-wise vector quantization for unsupervised medical anomaly detection
T Kim, YG Lee, I Jeong, SY Ham, SS Woo - Pattern Recognition Letters, 2024 - Elsevier
Radiography images inherently possess globally consistent structures while exhibiting
significant diversity in local anatomical regions, making it challenging to model their normal …
significant diversity in local anatomical regions, making it challenging to model their normal …
Clinically Focussed Evaluation of Anomaly Detection and Localisation Methods Using Inpatient CT Head Data
A Kascenas, C Wang, P Schrempf, R Grech… - … Conference on Medical …, 2023 - Springer
Anomaly detection approaches in medical imaging show promise in reducing the need for
labelled data. However, the question of how to evaluate anomaly detection algorithms …
labelled data. However, the question of how to evaluate anomaly detection algorithms …
Feature-Based Pipeline for Improving Unsupervised Anomaly Segmentation on Medical Images
Unsupervised methods for anomaly segmentation are promising for computer-aided
diagnosis since they can increase the robustness of medical systems and do not require …
diagnosis since they can increase the robustness of medical systems and do not require …