首页> Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology> Comparison of atlas-based and deep learning methods for organs at risk delineation on head-and-neck CT images using an automated treatment planning system.

Comparison of atlas-based and deep learning methods for organs at risk delineation on head-and-neck CT images using an automated treatment planning system.

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第一作者： Madalina,Costea

第一单位： Centre Léon Bérard, 28 rue Laennec, 69373 LYON Cedex 08, France; CREATIS, CNRS UMR5220, Inserm U1044, INSA-Lyon, Université Lyon 1, Villeurbanne, France.

作者： Madalina,Costea ^[1] ; Alexandra,Zlate ^[2] ; Morgane,Durand ^[3] ; Thomas,Baudier ^[1] ; Vincent,Grégoire ^[3] ; David,Sarrut ^[1] ; Marie-Claude,Biston ^[4]

作者单位： Centre Léon Bérard, 28 rue Laennec, 69373 LYON Cedex 08, France; CREATIS, CNRS UMR5220, Inserm U1044, INSA-Lyon, Université Lyon 1, Villeurbanne, France. ^[1] MedEuropa, Strada Turnului 8, Brașov 500152, Romania. ^[2] Centre Léon Bérard, 28 rue Laennec, 69373 LYON Cedex 08, France. ^[3] Centre Léon Bérard, 28 rue Laennec, 69373 LYON Cedex 08, France; CREATIS, CNRS UMR5220, Inserm U1044, INSA-Lyon, Université Lyon 1, Villeurbanne, France. Electronic address: marie-claude.biston@lyon.unicancer.fr. ^[4]

关键词 Atlas-based methods Automatic contouring Automatic planning Deep-Learning methods Head-and-Neck Cancer Organs-at-risk

医学主题词人类(Humans);危及器官(Organs at Risk);放射治疗计划, 计算机辅助(Radiotherapy Planning, Computer-Assisted);头颈部肿瘤(Head and Neck Neoplasms);体层摄影术, X线计算机(Tomography, X-Ray Computed)

DOI 10.1016/j.radonc.2022.10.029

PMID 36328093

发布时间 2023-02-12

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