AI Medical Compendium Journal:
Journal of applied clinical medical physics

Showing 81 to 90 of 159 articles

A comparative study of deep learning-based knowledge-based planning methods for 3D dose distribution prediction of head and neck.

Journal of applied clinical medical physics May 3, 2023
PURPOSE: In this paper, we compare four novel knowledge-based planning (KBP) algorithms using deep learning to predict three-dimensional (3D) dose distributions of head and neck plans using the same patients' dataset and quantitative assessment metri...
Radiotherapy, Intensity-Modulated Neck Organs at Risk Head Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Humans Deep Learning
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Lumbar spine segmentation method based on deep learning.

Journal of applied clinical medical physics Apr 20, 2023
Aiming at the difficulties of lumbar vertebrae segmentation in computed tomography (CT) images, we propose an automatic lumbar vertebrae segmentation method based on deep learning. The method mainly includes two parts: lumbar vertebra positioning and...
Algorithms Tomography, X-Ray Computed Humans Image Processing, Computer-Assisted Hospitals Deep Learning Spine Lumbar Vertebrae
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Acquisition time reduction in pediatric Tc-DMSA planar imaging using deep learning.

Journal of applied clinical medical physics Apr 5, 2023
PURPOSE: Given the potential risk of motion artifacts, acquisition time reduction is desirable in pediatric Tc-dimercaptosuccinic acid (DMSA) scintigraphy. The aim of this study was to evaluate the performance of predicted full-acquisition-time imag...
Humans Child Kidney Radiopharmaceuticals Retrospective Studies Deep Learning Radionuclide Imaging Technetium Tc 99m Dimercaptosuccinic Acid
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Hepatic vessels segmentation using deep learning and preprocessing enhancement.

Journal of applied clinical medical physics Mar 18, 2023
PURPOSE: Liver hepatic vessels segmentation is a crucial step for the diagnosis process in patients with hepatic diseases. Segmentation of liver vessels helps to study the liver internal segmental anatomy that helps in the preoperative planning of su...
Humans Neural Networks, Computer Abdomen Liver Deep Learning Image Processing, Computer-Assisted
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Geometric and dosimetric evaluation of deep learning based auto-segmentation for clinical target volume on breast cancer.

Journal of applied clinical medical physics Mar 15, 2023
BACKGROUND: Recently, target auto-segmentation techniques based on deep learning (DL) have shown promising results. However, inaccurate target delineation will directly affect the treatment planning dose distribution and the effect of subsequent radi...
Radiometry Organs at Risk Radiotherapy Planning, Computer-Assisted Humans Female Deep Learning Breast Neoplasms Mastectomy
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TrDosePred: A deep learning dose prediction algorithm based on transformers for head and neck cancer radiotherapy.

Journal of applied clinical medical physics Mar 3, 2023
BACKGROUND: Intensity-Modulated Radiation Therapy (IMRT) has been the standard of care for many types of tumors. However, treatment planning for IMRT is a time-consuming and labor-intensive process.
Radiotherapy, Intensity-Modulated Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Algorithms Deep Learning Head and Neck Neoplasms Organs at Risk Humans
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Evaluation of generalization ability for deep learning-based auto-segmentation accuracy in limited field of view CBCT of male pelvic region.

Journal of applied clinical medical physics Jan 19, 2023
PURPOSE: The aim of this study was to evaluate generalization ability of segmentation accuracy for limited FOV CBCT in the male pelvic region using a full-image CNN. Auto-segmentation accuracy was evaluated using various datasets with different inten...
Image Processing, Computer-Assisted Pelvis Male Humans Radiotherapy Planning, Computer-Assisted Deep Learning Spiral Cone-Beam Computed Tomography
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NVTrans-UNet: Neighborhood vision transformer based U-Net for multi-modal cardiac MR image segmentation.

Journal of applied clinical medical physics Jan 18, 2023
With the rapid development of artificial intelligence and image processing technology, medical imaging technology has turned into a critical tool for clinical diagnosis and disease treatment. The extraction and segmentation of the regions of interest...
Heart Myocardial Infarction Humans Artificial Intelligence Image Processing, Computer-Assisted
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Reinforcement learning in medical image analysis: Concepts, applications, challenges, and future directions.

Journal of applied clinical medical physics Jan 10, 2023
MOTIVATION: Medical image analysis involves a series of tasks used to assist physicians in qualitative and quantitative analyses of lesions or anatomical structures which can significantly improve the accuracy and reliability of medical diagnoses and...
Reproducibility of Results Image Processing, Computer-Assisted Humans Machine Learning
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Evaluation of deep-learning image reconstruction for chest CT examinations at two different dose levels.

Journal of applied clinical medical physics Dec 30, 2022
AIMS: The aims of the present study were to, for both a full-dose protocol and an ultra-low dose (ULD) protocol, compare the image quality of chest CT examinations reconstructed using TrueFidelity (Standard kernel) with corresponding examinations rec...
Image Processing, Computer-Assisted Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Tomography, X-Ray Computed Humans Deep Learning Algorithms
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