TTA-FM: Patient-Specific Test-Time Adaptation Using Foundation Models for Improved Prostate Segmentation in Magnetic Resonance Images
Author:
Affiliation:
1. Indian Institute of Science,Department of Computational and Data Sciences,Bangalore
2. GE Healthcare,Bangalore
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10635099/10635102/10635168.pdf?arnumber=10635168
Reference17 articles.
1. Clinical value of prostate segmentation and volume determination on MRI in benign prostatic hyperplasia
2. Development of a 3D CNN-based AI Model for Automated Segmentation of the Prostatic Urethra
3. A 3D-2D Hybrid U-Net Convolutional Neural Network Approach to Prostate Organ Segmentation of Multiparametric MRI
4. Deeply supervised 3D fully convolutional networks with group dilated convolution for automatic MRI prostate segmentation
5. Shape-Aware Meta-learning for Generalizing Prostate MRI Segmentation to Unseen Domains
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