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MedUniSeg: 2D and 3D Medical Image Segmentation via a Prompt-driven Universal Model
Universal segmentation models offer significant potential in addressing a wide range of
tasks by effectively leveraging discrete annotations. As the scope of tasks and modalities …
tasks by effectively leveraging discrete annotations. As the scope of tasks and modalities …
UniMRISegNet: Universal 3D Network for Various Organs and Cancers Segmentation on Multi-Sequence MRI
Three-dimensional organ and cancer segmentation based on multi-sequence MRI is crucial
for assisting clinical diagnosis. However, current automated segmentation methods often …
for assisting clinical diagnosis. However, current automated segmentation methods often …
Multi-site organ segmentation with federated partial supervision and site adaptation
Objective and Impact Statement: Accurate organ segmentation is critical for many clinical
applications at different clinical sites, which may have their specific application requirements …
applications at different clinical sites, which may have their specific application requirements …
Med-Query: Steerable Parsing of 9-DoF Medical Anatomies with Query Embedding
Automatic parsing of human anatomies at the instance-level from 3D computed tomography
(CT) is a prerequisite step for many clinical applications. The presence of pathologies …
(CT) is a prerequisite step for many clinical applications. The presence of pathologies …
[หนังสือ][B] Fast, Low-resource, and Accurate Organ and Pan-cancer Segmentation in Abdomen CT: MICCAI Challenge, FLARE 2023, Held in Conjunction with MICCAI …
J Ma, B Wang - 2024 - books.google.com
This book constitutes the proceedings of the MICCAI 2023 Challenge, FLARE 2023, held in
Conjunction with MICCAI 2023, in Vancouver, BC, Canada, on October 8, 2023. The 27 full …
Conjunction with MICCAI 2023, in Vancouver, BC, Canada, on October 8, 2023. The 27 full …