← Back to papers
2024 MICCAI MICCAI 2024

Adversarial Diffusion Model for Domain-Adaptive Depth Estimation in Bronchoscopic Navigation

🚀 Conference Pioneer — MICCAI 2024
🌉 Interdisciplinary Bridge — Computer Vision and Machine Learning
🧭 Keyword Pioneer — bronchoscopic navigation
🐝 Cross-Pollinator — Artificial Intelligence, Computer Vision, Deep Learning, Healthcare & Medicine, Interdisciplinary, Machine Learning, Mathematics & Optimization

Authors

Yiguang Yang , Guochen Ning , Changhao Zhong , Hongen Liao

Topics

Machine Learning > Application Areas > Domain Adaptation Computer Vision > Analysis > Depth Estimation Computer Vision > Domain-Specific > Medical Imaging

Keywords

medical imaging depth estimation adversarial domain adaptation bronchoscopic navigation
Download PDF

Related papers

ASPS: Augmented Segment Anything Model for Polyp Segmentation 2024
Progressive Growing of Patch Size: Resource-Efficient Curriculum Learning for Dense Prediction Tasks 2024
Progressively Correcting Soft Labels via Teacher Team for Knowledge Distillation in Medical Image Segmentation 2024
SaSaMIM: Synthetic Anatomical Semantics-Aware Masked Image Modeling for Colon Tumor Segmentation in Non-contrast Abdominal Computed Tomography 2024
SimTxtSeg: Weakly-Supervised Medical Image Segmentation with Simple Text Cues 2024