Deep learning‐based auto‐segmentation of clinical target volumes for radiotherapy treatment of cervical cancer

Journal of Applied Clinical Medical Physics ◽

10.1002/acm2.13470 ◽

2021 ◽

Author(s):

Chen‐Ying Ma ◽

Ju‐Ying Zhou ◽

Xiao‐Ting Xu ◽

Jian Guo ◽

Miao‐Fei Han ◽

...

Keyword(s):

Cervical Cancer ◽

Deep Learning ◽

Target Volumes ◽

Clinical Target Volumes ◽

Radiotherapy Treatment

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PSA-Net: Deep Learning–based Physician Style–Aware Segmentation Network for Postoperative Prostate Cancer Clinical Target Volumes

Artificial Intelligence in Medicine ◽

10.1016/j.artmed.2021.102195 ◽

2021 ◽

pp. 102195

Author(s):

Anjali Balagopal ◽

Howard Morgan ◽

Michael Dohopoloski ◽

Ramsey Timmerman ◽

Jie Shan ◽

...

Keyword(s):

Prostate Cancer ◽

Deep Learning ◽

Target Volumes ◽

Clinical Target Volumes

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72: Deep Learning-Based Auto-Segmentation for Pelvic Organs-At-Risk and Clinical Target Volumes in Intracavitary High Dose Rate Brachytherapy

Radiotherapy and Oncology ◽

10.1016/s0167-8140(20)30964-6 ◽

2020 ◽

Vol 150 ◽

pp. S34

Author(s):

Jordan Wong ◽

Carter Kolbeck ◽

Jonathan Giambattista ◽

Joshua Giambattista ◽

Vicky Huang ◽

...

Keyword(s):

At Risk ◽

Deep Learning ◽

Dose Rate ◽

Organs At Risk ◽

High Dose Rate ◽

High Dose ◽

High Dose Rate Brachytherapy ◽

Pelvic Organs ◽

Target Volumes ◽

Clinical Target Volumes

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Deep Learning Algorithm for Auto-Delineation of High-Risk Oropharyngeal Clinical Target Volumes With Built-In Dice Similarity Coefficient Parameter Optimization Function

International Journal of Radiation Oncology*Biology*Physics ◽

10.1016/j.ijrobp.2018.01.114 ◽

2018 ◽

Vol 101 (2) ◽

pp. 468-478 ◽

Author(s):

Carlos E. Cardenas ◽

Rachel E. McCarroll ◽

Laurence E. Court ◽

Baher A. Elgohari ◽

Hesham Elhalawani ◽

...

Keyword(s):

Deep Learning ◽

High Risk ◽

Parameter Optimization ◽

Learning Algorithm ◽

Similarity Coefficient ◽

Dice Similarity Coefficient ◽

Deep Learning Algorithm ◽

Target Volumes ◽

Optimization Function ◽

Clinical Target Volumes

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Comparing Deep Learning-based Auto-segmentation of Organs at Risk and Clinical Target Volumes to Expert Inter-Observer Variability in Radiotherapy Planning

International Journal of Radiation Oncology*Biology*Physics ◽

10.1016/j.ijrobp.2019.06.523 ◽

2019 ◽

Vol 105 (1) ◽

pp. S70-S71

Author(s):

J. Wong ◽

A. Fong ◽

N. McVicar ◽

S.L. Smith ◽

J.A. Giambattista ◽

...

Keyword(s):

At Risk ◽

Deep Learning ◽

Organs At Risk ◽

Radiotherapy Planning ◽

Observer Variability ◽

Inter Observer Variability ◽

Target Volumes ◽

Clinical Target Volumes

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Clinical evaluation of atlas- and deep learning-based automatic segmentation of multiple organs and clinical target volumes for breast cancer

Radiotherapy and Oncology ◽

10.1016/j.radonc.2020.09.045 ◽

2020 ◽

Vol 153 ◽

pp. 139-145

Author(s):

Min Seo Choi ◽

Byeong Su Choi ◽

Seung Yeun Chung ◽

Nalee Kim ◽

Jaehee Chun ◽

...

Keyword(s):

Breast Cancer ◽

Deep Learning ◽

Clinical Evaluation ◽

Automatic Segmentation ◽

Multiple Organs ◽

Target Volumes ◽

Clinical Target Volumes

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Clinical Evaluation of a Deep Learning Model for Segmentation of Nodal Clinical Target Volumes in Breast Cancer Radiotherapy

International Journal of Radiation Oncology*Biology*Physics ◽

10.1016/j.ijrobp.2020.07.2279 ◽

2020 ◽

Vol 108 (3) ◽

pp. S101-S102

Author(s):

P. Buelens ◽

S. Willems ◽

L. Vandewinckele ◽

W. Crijns ◽

F. Maes ◽

...

Keyword(s):

Breast Cancer ◽

Deep Learning ◽

Clinical Evaluation ◽

Learning Model ◽

Cancer Radiotherapy ◽

Breast Cancer Radiotherapy ◽

Target Volumes ◽

Clinical Target Volumes ◽

Deep Learning Model

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Deep Learning-based Auto-Segmentation for Pelvic Organs at Risk and Clinical Target Volumes in Intracavitary High Dose Rate Brachytherapy

International Journal of Radiation Oncology*Biology*Physics ◽

10.1016/j.ijrobp.2020.07.681 ◽

2020 ◽

Vol 108 (3) ◽

pp. e284

Author(s):

J. Wong ◽

C. Kolbeck ◽

J. Giambattista ◽

J.A. Giambattista ◽

V. Huang ◽

...

Keyword(s):

At Risk ◽

Deep Learning ◽

Dose Rate ◽

Organs At Risk ◽

High Dose Rate ◽

High Dose ◽

High Dose Rate Brachytherapy ◽

Pelvic Organs ◽

Target Volumes ◽

Clinical Target Volumes

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Clinical application and improvement of a CNN‐based autosegmentation model for clinical target volumes in cervical cancer radiotherapy

Journal of Applied Clinical Medical Physics ◽

10.1002/acm2.13440 ◽

2021 ◽

Author(s):

Yankui Chang ◽

Zhi Wang ◽

Zhao Peng ◽

Jieping Zhou ◽

Yifei Pi ◽

...

Keyword(s):

Cervical Cancer ◽

Clinical Application ◽

Cancer Radiotherapy ◽

Target Volumes ◽

Clinical Target Volumes

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Clinical Outcomes Using Image Guided Interstitial Brachytherapy for Definitive Cervical Cancer Patients with High Risk Clinical Target Volumes Greater Than 30 cc

Brachytherapy ◽

10.1016/j.brachy.2017.04.009 ◽

2017 ◽

Vol 16 (3) ◽

pp. S15

Author(s):

Chenyang Wang ◽

Jagdeep Raince ◽

Sang-June Park ◽

Shane Mesko ◽

Jeffrey Demanes ◽

...

Keyword(s):

Cervical Cancer ◽

High Risk ◽

Cancer Patients ◽

Clinical Outcomes ◽

Interstitial Brachytherapy ◽

Image Guided ◽

Target Volumes ◽

Clinical Target Volumes

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A deep learning-based framework for segmenting invisible clinical target volumes with estimated uncertainties for post-operative prostate cancer radiotherapy

Medical Image Analysis ◽

10.1016/j.media.2021.102101 ◽

2021 ◽

pp. 102101

Author(s):

Anjali Balagopal ◽

Dan Nguyen ◽

Howard Morgan ◽

Yaochung Weng ◽

Michael Dohopolski ◽

...

Keyword(s):

Prostate Cancer ◽

Deep Learning ◽

Cancer Radiotherapy ◽

Target Volumes ◽

Clinical Target Volumes ◽

Prostate Cancer Radiotherapy

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