AI Medical Compendium Journal:
Journal of applied clinical medical physics

Showing 121 to 130 of 159 articles

Deep learning-based synthetic CT generation for MR-only radiotherapy of prostate cancer patients with 0.35T MRI linear accelerator.

Journal of applied clinical medical physics Jun 28, 2021
PURPOSE: To develop a deep learning model to generate synthetic CT for MR-only radiotherapy of prostate cancer patients treated with 0.35 T MRI linear accelerator.
Magnetic Resonance Imaging Prostatic Neoplasms Deep Learning Image Processing, Computer-Assisted Particle Accelerators Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Humans Tomography, X-Ray Computed Male
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Artificial intelligence in tumor subregion analysis based on medical imaging: A review.

Journal of applied clinical medical physics Jun 24, 2021
Medical imaging is widely used in the diagnosis and treatment of cancer, and artificial intelligence (AI) has achieved tremendous success in medical image analysis. This paper reviews AI-based tumor subregion analysis in medical imaging. We summarize...
Humans Diagnostic Imaging Artificial Intelligence Neoplasms
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Image quality improvement with deep learning-based reconstruction on abdominal ultrahigh-resolution CT: A phantom study.

Journal of applied clinical medical physics Jun 23, 2021
PURPOSE: In an ultrahigh-resolution CT (U-HRCT), deep learning-based reconstruction (DLR) is expected to drastically reduce image noise without degrading spatial resolution. We assessed a new algorithm's effect on image quality at different radiation...
Quality Improvement Radiation Dosage Algorithms Tomography, X-Ray Computed Humans Deep Learning Radiographic Image Interpretation, Computer-Assisted
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Evaluation of deep learning for COVID-19 diagnosis: Impact of image dataset organization.

Journal of applied clinical medical physics Jun 23, 2021
INTRODUCTION: Coronavirus disease 2019 (COVID-19) has spread all over the world showing high transmissibility. Many studies have proposed diverse diagnostic methods based on deep learning using chest X-ray images focusing on performance improvement. ...
Humans Deep Learning Algorithms COVID-19 COVID-19 Testing SARS-CoV-2
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Image synthesis of monoenergetic CT image in dual-energy CT using kilovoltage CT with deep convolutional generative adversarial networks.

Journal of applied clinical medical physics Feb 18, 2021
PURPOSE: To synthesize a dual-energy computed tomography (DECT) image from an equivalent kilovoltage computed tomography (kV-CT) image using a deep convolutional adversarial network.
Signal-To-Noise Ratio Tomography, X-Ray Computed Image Processing, Computer-Assisted Humans Neural Networks, Computer
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Performance of deep learning synthetic CTs for MR-only brain radiation therapy.

Journal of applied clinical medical physics Jan 7, 2021
PURPOSE: To evaluate the dosimetric and image-guided radiation therapy (IGRT) performance of a novel generative adversarial network (GAN) generated synthetic CT (synCT) in the brain and compare its performance for clinical use including conventional ...
Deep Learning Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Radiotherapy, Image-Guided Humans Brain
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Feasibility of automated planning for whole-brain radiation therapy using deep learning.

Journal of applied clinical medical physics Dec 19, 2020
PURPOSE: The purpose of this study was to develop automated planning for whole-brain radiation therapy (WBRT) using a U-net-based deep-learning model for predicting the multileaf collimator (MLC) shape bypassing the contouring processes.
Feasibility Studies Humans Radiotherapy Planning, Computer-Assisted Brain Brain Neoplasms Cranial Irradiation Deep Learning
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A review on medical imaging synthesis using deep learning and its clinical applications.

Journal of applied clinical medical physics Dec 11, 2020
This paper reviewed the deep learning-based studies for medical imaging synthesis and its clinical application. Specifically, we summarized the recent developments of deep learning-based methods in inter- and intra-modality image synthesis by listing...
Diagnostic Imaging Image Processing, Computer-Assisted Radiography Research Design Humans Deep Learning
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Evaluation of deep learning-based auto-segmentation algorithms for delineating clinical target volume and organs at risk involving data for 125 cervical cancer patients.

Journal of applied clinical medical physics Nov 25, 2020
OBJECTIVE: To evaluate the accuracy of a deep learning-based auto-segmentation mode to that of manual contouring by one medical resident, where both entities tried to mimic the delineation "habits" of the same clinical senior physician.
Algorithms Humans Organs at Risk Female Uterine Cervical Neoplasms Radiotherapy Planning, Computer-Assisted Deep Learning
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Deep learning-based survival analysis for brain metastasis patients with the national cancer database.

Journal of applied clinical medical physics Aug 13, 2020
PURPOSE: Prognostic indices such as the Brain Metastasis Graded Prognostic Assessment have been used in clinical settings to aid physicians and patients in determining an appropriate treatment regimen. These indices are derivative of traditional surv...
Survival Analysis Radiosurgery Humans Brain Neoplasms Retrospective Studies Deep Learning
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