Clinical validation of an automatic atlas‐based segmentation tool for male pelvis CT images-Reference-Cited by-同舟云学术

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Clinical validation of an automatic atlas‐based segmentation tool for male pelvis CT images

Published:2022-01-22 Issue:3 Volume:23 Page:
ISSN:1526-9914
Container-title:Journal of Applied Clinical Medical Physics
language:en
Short-container-title:J Applied Clin Med Phys

Author:

Casati Marta¹^ORCID,Piffer Stefano²³^ORCID,Calusi Silvia²³^ORCID,Marrazzo Livia¹^ORCID,Simontacchi Gabriele⁴^ORCID,Di Cataldo Vanessa⁵^ORCID,Greto Daniela⁴^ORCID,Desideri Isacco²^ORCID,Vernaleone Marco⁴,Francolini Giulio⁴^ORCID,Livi Lorenzo²⁴^ORCID,Pallotta Stefania¹²^ORCID

Affiliation:

1. Medical Physics Unit Careggi University Hospital Florence Italy

2. Department of Experimental and Clinical Biomedical Sciences University of Florence Florence Italy

3. National Institute of Nuclear Physics (INFN) Florence Italy

4. Radiation Oncology Unit Careggi University Hospital Florence Italy

5. Florentine Institute of Care and Assistance (IFCA) Florence Italy

Publisher

Wiley

Subject

Radiology, Nuclear Medicine and imaging,Instrumentation,Radiation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/acm2.13507

Reference28 articles.

1. Atlas-based Segmentation in Prostate IMRT: Timesavings in the Clinical Workflow

2. Systematic evaluation of three different commercial software solutions for automatic segmentation for adaptive therapy in head-and-neck, prostate and pleural cancer

3. Clinical evaluation of multi-atlas based segmentation of lymph node regions in head and neck and prostate cancer patients

4. Clinical validation of atlas-based auto-segmentation of pelvic volumes and normal tissue in rectal tumors using auto-segmentation computed system

5. The utility of atlas-assisted segmentation in the male pelvis is dependent on the interobserver agreement of the structures segmented

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1. Automated segmentation in pelvic radiotherapy: A comprehensive evaluation of ATLAS-, machine learning-, and deep learning-based models;Physica Medica;2024-09

2. Geometric and dosimetric evaluation for breast and regional nodal auto‐segmentation structures;Journal of Applied Clinical Medical Physics;2024-08-02

3. Deep learning and atlas-based models to streamline the segmentation workflow of total marrow and lymphoid irradiation;La radiologia medica;2024-02-02

4. Clinical Use of a Commercial Artificial Intelligence-Based Software for Autocontouring in Radiation Therapy: Geometric Performance and Dosimetric Impact;Cancers;2023-12-07

5. Multicenter Study of Pelvic Nodal Autosegmentation Algorithm of Siemens Healthineers: Comparison of Male Versus Female Pelvis;Advances in Radiation Oncology;2023-07

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