Comparative clinical evaluation of atlas and deep-learning-based auto-segmentation of organ structures in liver cancer by Sang Hee Ahn, Adam Unjin Yeo, Kwang Hyeon Kim, Chankyu Kim, Youngmoon Goh, Shinhaeng Cho, Se Byeong Lee, Young Kyung Lim, Haksoo Kim, Dongho Shin, Taeyoon Kim, Tae Hyun Kim, Sang Hee Youn, Eun Sang Oh, Jong Hwi Jeong

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Auditing the clinical usage of deep-learning based organ-at-risk auto-segmentation in radiotherapy by Josh Mason, Jack Doherty, Sarah Robinson, Meagan de la Bastide, Jack Miskell, Ruth McLauchlan

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Clinical Implementation and Evaluation of Auto-Segmentation Tools for Multi-Site Contouring in Radiotherapy by Gerd Heilemann, Martin Buschmann, Wolfgang Lechner, Vincent Dick, Franziska Eckert, Martin Heilmann, Harald Herrmann, Matthias Moll, Johannes Knoth, Stefan Konrad, Inga-Malin Simek, Christopher Thiele, Alexandru Zaharie, Dietmar Georg, Joachim Widder, Petra Trnkova

Subjects: “…Auto-segmentation…”
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A dual deep neural network for auto-delineation in cervical cancer radiotherapy with clinical validation by Shihong Nie, Yuanfeng Wei, Fen Zhao, Ya Dong, Yan Chen, Qiaoqi Li, Wei Du, Xin Li, Xi Yang, Zhiping Li

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Retrospective Comparison of Geometrical Accuracy among Atlas-based Auto-segmentation, Deep Learning Auto-segmentation, and Deformable Image Registration in the Treatment Replanning... by Yukari Nagayasu, Shoki Inui, Yoshihiro Ueda, Akira Masaoka, Masahide Tominaga, Masayoshi Miyazaki, Koji Konishi

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Comparison of Vendor-Pretrained and Custom-Trained Deep Learning Segmentation Models for Head-and-Neck, Breast, and Prostate Cancers by Xinru Chen, Yao Zhao, Hana Baroudi, Mohammad D. El Basha, Aji Daniel, Skylar S. Gay, Cenji Yu, He Wang, Jack Phan, Seungtaek L. Choi, Chelain R. Goodman, Xiaodong Zhang, Joshua S. Niedzielski, Sanjay S. Shete, Laurence E. Court, Zhongxing Liao, Fredrik Löfman, Peter A. Balter, Jinzhong Yang

Subjects: “…auto-segmentation…”
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The dosimetric impact of deep learning-based auto-segmentation of organs at risk on nasopharyngeal and rectal cancer by Hongbo Guo, Jiazhou Wang, Xiang Xia, Yang Zhong, Jiayuan Peng, Zhen Zhang, Weigang Hu

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An image dataset of fusulinid foraminifera generated with the aid of deep learning by Hanhui Huang, Yukun Shi, Qin Chen, Huiqing Xu, Sicong Song, Yujie Shi, Furao Shen, Junxuan Fan

Subjects: “…auto‐segmentation…”
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Deep Learning Architecture to Improve Edge Accuracy of Auto-Contouring for Head and Neck Radiotherapy by Ryan Gifford, Sachin R. Jhawar, Samantha Krening

Subjects: “…auto-segmentation…”
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Neural network-assisted automated image registration for MRI-guided adaptive brachytherapy in cervical cancer by Stefan Ecker, Lukas Zimmermann, Gerd Heilemann, Yury Niatsetski, Maximilian Schmid, Alina Emiliana Sturdza, Johannes Knoth, Christian Kirisits, Nicole Nesvacil

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Comparison of the use of a clinically implemented deep learning segmentation model with the simulated study setting for breast cancer patients receiving radiotherapy by Nienke Bakx, Maurice van der Sangen, Jacqueline Theuws, Johanna Bluemink, Coen Hurkmans

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Clinical evaluation of a deep learning segmentation model including manual adjustments afterwards for locally advanced breast cancer by Nienke Bakx, Dorien Rijkaart, Maurice van der Sangen, Jacqueline Theuws, Peter-Paul van der Toorn, An-Sofie Verrijssen, Jorien van der Leer, Joline Mutsaers, Thérèse van Nunen, Marjon Reinders, Inge Schuengel, Julia Smits, Els Hagelaar, Dave van Gruijthuijsen, Hanneke Bluemink, Coen Hurkmans

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Deep learning vs. atlas-based models for fast auto-segmentation of the masticatory muscles on head and neck CT images by Wen Chen, Yimin Li, Brandon A. Dyer, Xue Feng, Shyam Rao, Stanley H. Benedict, Quan Chen, Yi Rong

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Auto‐segmentation of the clinical target volume using a domain‐adversarial neural network in patients with gynaecological cancer undergoing postoperative vaginal brachytherapy by Junfang Yan, Xue Qin, Caixia Qiao, Jiawei Zhu, Lina Song, Mi Yang, Shaobin Wang, Lu Bai, Zhikai Liu, Jie Qiu

Subjects: “…auto‐segmentation…”
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An attention base U-net for parotid tumor autosegmentation by Xianwu Xia, Xianwu Xia, Xianwu Xia, Xianwu Xia, Jiazhou Wang, Jiazhou Wang, Sheng Liang, Fangfang Ye, Min-Ming Tian, Weigang Hu, Weigang Hu, Leiming Xu

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The clinical evaluation of atlas-based auto-segmentation for automatic contouring during cervical cancer radiotherapy by Yi Li, Wenjing Wu, Yuchen Sun, Dequan Yu, Yuemei Zhang, Long Wang, Yao Wang, Xiaozhi Zhang, Yongkai Lu

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Comparing 3D, 2.5D, and 2D Approaches to Brain Image Auto-Segmentation by Arman Avesta, Sajid Hossain, MingDe Lin, Mariam Aboian, Harlan M. Krumholz, Sanjay Aneja

Subjects: “…auto-segmentation…”
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Clinical evaluation of deep learning–based clinical target volume three-channel auto-segmentation algorithm for adaptive radiotherapy in cervical cancer by Chen-ying Ma, Ju-ying Zhou, Xiao-ting Xu, Song-bing Qin, Miao-fei Han, Xiao-huan Cao, Yao-zong Gao, Lu Xu, Jing-jie Zhou, Wei Zhang, Le-cheng Jia

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A novel specific grading standard study of auto-segmentation of organs at risk in thorax: subjective–objective-combined grading standard by Yanchen Ying, Hao Wang, Hua Chen, Jianfan Cheng, Hengle Gu, Yan Shao, Yanhua Duan, Aihui Feng, Wen Feng, Xiaolong Fu, Hong Quan, Zhiyong Xu

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Implementation of a Commercial Deep Learning-Based Auto Segmentation Software in Radiotherapy: Evaluation of Effectiveness and Impact on Workflow by Lorenzo Radici, Silvia Ferrario, Valeria Casanova Borca, Domenico Cante, Marina Paolini, Cristina Piva, Laura Baratto, Pierfrancesco Franco, Maria Rosa La Porta

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