Clinical implementation of deep learning contour autosegmentation for prostate radiotherapy

Elaine Cha; Sharif Elguindi; Ifeanyirochukwu Onochie; Daniel Gorovets; Joseph O. Deasy; Michael J. Zeléfsky; Erin F. Gillespie

doi:10.1016/j.radonc.2021.02.040

JOURNAL ARTICLE

Clinical implementation of deep learning contour autosegmentation for prostate radiotherapy

Elaine Cha Sharif Elguindi Ifeanyirochukwu Onochie Daniel Gorovets Joseph O. Deasy Michael J. Zeléfsky Erin F. Gillespie

Year: 2021 Journal: Radiotherapy and Oncology Vol: 159 Pages: 1-7 Publisher: Elsevier BV

DOI: 10.1016/j.radonc.2021.02.040

Get Full-Text PDF Get Analytical Report

Keywords:

Contouring Medicine Dice Medical physics Prostate Metric (unit) Radiation therapy Radiation oncologist Prostate cancer Nuclear medicine Computer science Radiology Statistics Internal medicine Cancer Mathematics

Metrics

Cited By

17.86

FWCI (Field Weighted Citation Impact)

Refs

1.00

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Advanced Radiotherapy Techniques

Physical Sciences → Physics and Astronomy → Radiation

Prostate Cancer Diagnosis and Treatment

Health Sciences → Medicine → Pulmonary and Respiratory Medicine

Radiation Dose and Imaging

Health Sciences → Medicine → Radiology, Nuclear Medicine and Imaging

Clinical implementation of deep learning contour autosegmentation for prostate radiotherapy

Metrics

Citation History

Topics

Related Documents

Deep Learning Autosegmentation Model for NRG-HN001 Contour Quality Assurance

Evaluation of deep learning-based autosegmentation in breast cancer radiotherapy

(OA40) Deep Learning-Based Autosegmentation for Head and Neck Radiotherapy

Dosimetric impact of contour editing on CT and MRI deep‐learning autosegmentation for brain OARs

Additional file 1 of Evaluation of deep learning-based autosegmentation in breast cancer radiotherapy