Current position: Home >> Scientific Research >> Paper Publications

Two-stage multi-task deep learning framework for simultaneous pelvic bone segmentation and landmark detection from CT images.

Release Time:2025-09-15  Hits:

Journal: International journal of computer assisted radiology and surgery

ISSN: 1861-6410

Key Words: Bone segmentation; Coarse-to-fine strategy; Landmark detection; Multi-task networks

Prev One:Deep learning-based workflow for hip joint morphometric parameter measurement from CT images.

Next One:AnatomySketch: An Extensible Open-Source Software Platform for Medical Image Analysis Algorithm Development