AIMC Journal:
Medical physics

Showing 181 to 190 of 732 articles

Deep-learning based fast and accurate 3D CT deformable image registration in lung cancer.

Medical physics Jun 8, 2023
BACKGROUND: Deformable Image Registration (DIR) is an essential technique required in many applications of radiation oncology. However, conventional DIR approaches typically take several minutes to register one pair of 3D CT images and the resulting ...
Radiotherapy Planning, Computer-Assisted Tomography, X-Ray Computed Deep Learning Image Processing, Computer-Assisted Lung Neoplasms Imaging, Three-Dimensional Humans
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Incremental retraining, clinical implementation, and acceptance rate of deep learning auto-segmentation for male pelvis in a multiuser environment.

Medical physics Jun 7, 2023
BACKGROUND: Deep learning auto-segmentation (DLAS) models have been adopted in the clinic; however, they suffer from performance deterioration owing to the clinical practice variability. Some commercial DLAS software provide an incremental retraining...
Male Deep Learning Humans Pelvis Organs at Risk Image Processing, Computer-Assisted Radiotherapy Planning, Computer-Assisted Prostatic Neoplasms
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Delineation of clinical target volume and organs at risk in cervical cancer radiotherapy by deep learning networks.

Medical physics May 29, 2023
PURPOSE: Delineation of the clinical target volume (CTV) and organs-at-risk (OARs) is important in cervical cancer radiotherapy. But it is generally labor-intensive, time-consuming, and subjective. This paper proposes a parallel-path attention fusion...
Humans Tomography, X-Ray Computed Uterine Cervical Neoplasms Deep Learning Female Organs at Risk Radiotherapy Planning, Computer-Assisted Image Processing, Computer-Assisted Neck
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Target-oriented deep learning-based image registration with individualized test-time adaptation.

Medical physics May 24, 2023
BACKGROUND: A classic approach in medical image registration is to formulate an optimization problem based on the image pair of interest, and seek a deformation vector field (DVF) to minimize the corresponding objective, often iteratively. It has a c...
Humans Algorithms Deep Learning Lung Image Processing, Computer-Assisted
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Deep learning-based markerless lung tumor tracking in stereotactic radiotherapy using Siamese networks.

Medical physics May 23, 2023
BACKGROUND: Radiotherapy (RT) is involved in about 50% of all cancer patients, making it a very important treatment modality. The most common type of RT is external beam RT, which consists of delivering the radiation to the tumor from outside the bod...
Radiotherapy Planning, Computer-Assisted Respiration Radiotherapy, Intensity-Modulated Radiosurgery Cone-Beam Computed Tomography Lung Neoplasms Humans Deep Learning
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Patient selection for proton therapy using Normal Tissue Complication Probability with deep learning dose prediction for oropharyngeal cancer.

Medical physics May 4, 2023
BACKGROUND: In cancer care, determining the most beneficial treatment technique is a key decision affecting the patient's survival and quality of life. Patient selection for proton therapy (PT) over conventional radiotherapy (XT) currently entails co...
Quality of Life Deep Learning Humans Artificial Intelligence Radiotherapy Planning, Computer-Assisted Probability Radiotherapy Dosage Patient Selection Organs at Risk Oropharyngeal Neoplasms Radiotherapy, Intensity-Modulated Proton Therapy
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Impact of imperfection in medical imaging data on deep learning-based segmentation performance: An experimental study using synthesized data.

Medical physics Apr 29, 2023
BACKGROUND: Clinical data used to train deep learning models are often not clean data. They can contain imperfections in both the imaging data and the corresponding segmentations.
Image Processing, Computer-Assisted Tomography, X-Ray Computed Radiography Deep Learning
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A multi-stage fusion framework to classify breast lesions using deep learning and radiomics features computed from four-view mammograms.

Medical physics Apr 21, 2023
BACKGROUND: Developing computer aided diagnosis (CAD) schemes of mammograms to classify between malignant and benign breast lesions has attracted a lot of research attention over the last several decades. However, unlike radiologists who make diagnos...
Algorithms Deep Learning Diagnosis, Computer-Assisted Mammography
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Self-supervised denoising of projection data for low-dose cone-beam CT.

Medical physics Apr 20, 2023
BACKGROUND: Convolutional neural networks (CNNs) have shown promising results in image denoising tasks. While most existing CNN-based methods depend on supervised learning by directly mapping noisy inputs to clean targets, high-quality references are...
Algorithms Phantoms, Imaging Retrospective Studies Cone-Beam Computed Tomography Humans Image Processing, Computer-Assisted Neural Networks, Computer
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Need for objective task-based evaluation of deep learning-based denoising methods: A study in the context of myocardial perfusion SPECT.

Medical physics Apr 20, 2023
BACKGROUND: Artificial intelligence-based methods have generated substantial interest in nuclear medicine. An area of significant interest has been the use of deep-learning (DL)-based approaches for denoising images acquired with lower doses, shorter...
Image Processing, Computer-Assisted Tomography, Emission-Computed, Single-Photon Artificial Intelligence Deep Learning Humans Neural Networks, Computer
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