: A unified model designed for thoracic (chest) OARs . It uses a shared "encoder" to understand general anatomy and multiple "decoders" to pinpoint specific organs, reducing the workload for radiation oncologists by up to 90%.
Depending on your specific field, "OAR" might also refer to: : A unified model designed for thoracic (chest) OARs
: A specialized deep learning model for abdominal OARs , which outperformed several standard architectures like UNet and DeepLabV3+ in accurately contouring 16 different organs. : A system that delineates 42 different head and neck OARs
: A system that delineates 42 different head and neck OARs. It uses a stratified approach, categorizing organs as "anchor," "mid-level," or "small & hard" to improve accuracy across varying sizes. Other Potential Meanings In the context of recent
: Recent studies, such as those published in the Journal of Applied Clinical Medical Physics , suggest that deep-learning-generated OARs are now high enough quality to be used in treatment planning with almost no manual editing. Other Potential Meanings
In the context of recent academic research, most commonly refers to Organs-at-Risk in radiation therapy. "Deep paper" likely points toward the high volume of research applying Deep Learning (DL) models to automate the segmentation of these organs to improve cancer treatment planning. Key Developments in Deep Learning for OAR
: A cognitive informatics model (Object-Attribute-Relation) used in AI and brain science.