Calibrated Uncertainty-Guided Multi-task Framework for Medical Image Segmentation
Author:
Affiliation:
1. East China Normal University,Shanghai Key Laboratory of Trustworthy Computing,Shanghai,China
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10385250/10385251/10385430.pdf?arnumber=10385430
Reference32 articles.
1. Inconsistency-aware Uncertainty Estimation for Semi-supervised Medical Image Segmentation
2. Adaptive soft erasure with edge self-attention for weakly supervised semantic segmentation: Thyroid ultrasound image case study
3. MTANS: Multi-Scale Mean Teacher Combined Adversarial Network with Shape-Aware Embedding for Semi-Supervised Brain Lesion Segmentation
4. Semi-Supervised Semantic Segmentation With Cross-Consistency Training
5. Efficient Semi-supervised Gross Target Volume of Nasopharyngeal Carcinoma Segmentation via Uncertainty Rectified Pyramid Consistency
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