Image‐based shading correction for narrow‐FOV truncated pelvic CBCT with deep convolutional neural networks and transfer learning-Reference-Cited by-同舟云学术

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Image‐based shading correction for narrow‐FOV truncated pelvic CBCT with deep convolutional neural networks and transfer learning

Published:2021-10-26 Issue:11 Volume:48 Page:7112-7126
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Medical Physics

Author:

Rossi Matteo¹^ORCID,Belotti Gabriele¹,Paganelli Chiara¹,Pella Andrea²,Barcellini Amelia³,Cerveri Pietro¹,Baroni Guido¹²

Affiliation:

1. Department of Electronics Information and Bioengineering Politecnico di Milano Milano Italy

2. Bioengineering Unit Clinical Department National Center for Oncological Hadrontherapy (CNAO) Pavia Italy

3. Radiation Oncology Unit Clinical Department National Center for Oncological Hadrontherapy (CNAO) Pavia Italy

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.15282

Reference49 articles.

1. Image guided particle therapy in CNAO room 2: Implementation and clinical validation

2. First Clinical Investigation of Cone Beam Computed Tomography and Deformable Registration for Adaptive Proton Therapy for Lung Cancer

3. A robotic C-arm cone beam CT system for image-guided proton therapy: design and performance

4. Current state and future applications of radiological image guidance for particle therapy

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1. Feasibility of proton dosimetry overriding planning CT with daily CBCT elaborated through generative artificial intelligence tools;Computer Assisted Surgery;2024-03-11

2. Evaluating AI-generated CBCT-based synthetic CT images for target delineation in palliative treatments of pelvic bone metastasis at conventional C-arm linacs;Radiotherapy and Oncology;2024-03

3. Pseudo-medical image-guided technology based on 'CBCT-only' mode in esophageal cancer radiotherapy;Computer Methods and Programs in Biomedicine;2024-03

4. Artifact Reduction in 3D and 4D Cone-Beam Computed Tomography Images With Deep Learning: A Review;IEEE Access;2024

5. CBCT-to-CT Synthesis for Cervical Cancer Adaptive Radiotherapy via U-Net-Based Model Hierarchically Trained with Hybrid Dataset;Cancers;2023-11-20

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