HG-DTGL integrates human gaze as an extra teacher in mean-teacher learning via GazeMix, MGP module and Gaze Loss, reporting superior segmentation across ten organs on multiple modalities.
Xia, et al., Uncertainty-aware multi-view co-training for semi- supervised medical imagesegmentation and domainadaptation, Medical image analysis 65 (2020) 101766
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.IV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Human Gaze-based Dual Teacher Guidance Learning for Semi-Supervised Medical Image Segmentation
HG-DTGL integrates human gaze as an extra teacher in mean-teacher learning via GazeMix, MGP module and Gaze Loss, reporting superior segmentation across ten organs on multiple modalities.