Apr 17, 2020 · We introduce stratified organ at risk segmentation (SOARS), an approach that stratifies OARs into anchor, mid-level, and small & hard (S&H) categories.

We use differentiable neural architecture search (NAS), allowing the network to choose among 2D, 3D or Pseudo-3D con- volutions. Extensive 4-fold cross- ...

This study aims to emulate this process and develop a new approach that stratifies 42 head and neck OARs into anchor, mid-level, and small & hard (S&H) levels.

This study aims to emulate this process and develop a new approach that stratifies 42 head and neck OARs into anchor, mid-level, and small & hard (S&H) levels.

Organ at risk (OAR) segmentation is a critical step in ra- diotherapy of head and neck (H&N) cancer, where inconsis- tencies across radiation oncologists ...

We introduce stratified organ at risk segmentation (SOARS), an approach that stratifies OARs into anchor, mid-level, and small & hard (S&H) categories.

An automated and highly effective stratified OAR segmentation (SOARS) system using deep learning that precisely delineates a comprehensive set of 42 H&N OARs.

From an early preliminary version of this work 25 , we introduced a stratified deep learning framework to segment a comprehensive set of H&N OARs by balancing ...

Oct 17, 2022 · We present an automated and highly effective stratified OAR segmentation (SOARS) system using deep learning that precisely delineates a comprehensive set of 42 ...

Comprehensive Head and Neck Organs at Risk Segmentation. Using Stratified Learning and Neural Architecture Search. T.Y. Ho,1 D. Guo,2 D. Jin,2 Z. Zhu,3 T.M. ...