Mar 8, 2019 · The super-mask-based object localization approach within the AAR framework improved the recognition accuracy by 25-45% compared with the ...
The super-mask-based object localization approach within the AAR framework improved the recognition accuracy by 25-45% compared with the previous AAR strategy, ...
Head, neck, and extremities are the most frequently involved sites. In this paper, we describe an unusual case of oral localization, recurring after skin- ...
Jun 5, 2019 · Torigian, "Super-mask-based object localization for auto-contouring in head and neck radiation therapy planning,". Proc. SPIE 10951, Medical ...
Super-mask-based object localization for auto-contouring in head and neck radiation therapy planning · AnatomyNet: Deep 3D Squeeze-and-excitation U-Nets for fast ...
Super-mask-based object localization for auto-contouring in head and neck radiation therapy planning, Yubing Tong, Jayaram K. Udupa, Drew A. Torigian, Univ ...
Hierarchical model-based object localization for auto-contouring in ...
pubmed.ncbi.nlm.nih.gov › ...
Segmentation of organs at risk (OARs) is a key step during the radiation therapy (RT) treatment planning process. Automatic anatomy recognition (AAR) is a ...
Missing: Super- mask-
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Aug 6, 2024 · In this review article, we summarize contemporary AI techniques and explore the clinical applications of AI-based automated segmentation models in radiotherapy ...
Robust 3D Organ Localization with Dual Learning Architectures and ...
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This work presents a robust algorithm for organ localization from 3D volumes in the presence of large anatomical and contextual variations through slice ...
Accurate segmentation of organs‐at‐risks (OARs) is the key step for efficient planning of radiation therapy for head and neck (HaN) cancer treatment. In the ...
Missing: localization | Show results with:localization