In this work, we show how popular U-Net-based neural networks can be used for detecting anomalies in the knee from 3D magnetic resonance (MR) images in patients ...

Overall, this work will show (1) using 3D U-Net-based CNNs for anomaly detection and. (2) improving segmentation of knee MR images using anomaly-aware mechanism ...

Feb 28, 2022 · In this work, we show how popular U-Net-based neural networks can be used for detecting anomalies in the knee from 3D magnetic resonance (MR) ...

An anomaly-aware approach was used to improve CNN-based segmentation of 3D knee MR images via inpainting in MR images. •. The effect of anomaly-aware ...

In this work, we show how popular U-Net-based neural networks can be used for detecting anomalies in the cancellous bone of the knee from 3D magnetic resonance ...

In this work, we develop a multi-step approach using U-Net-based models to initially detect anomalies (bone marrow lesions, bone cysts) in the distal femur, ...

In this work, we show how popular U-Net-based neural networks can be used for detecting anomalies in the knee from 3D magnetic resonance (MR) images in patients ...

This repository contains the manual segmentations and the cross-validation data splits used in "Automated anomaly-aware 3D segmentation of bones and ...

Sep 12, 2024 · In this work, we develop a multi-step approach using U-Net-based neural networks to initially detect anomalies (bone marrow lesions, bone cysts) ...