AI Medical Compendium Journal:
Medical physics

Showing 151 to 160 of 732 articles

Comparison and evaluation of different deep learning models of synthetic CT generation from CBCT for nasopharynx cancer adaptive proton therapy.

Medical physics Oct 6, 2023
BACKGROUND: Cone-beam computed tomography (CBCT) scanning is used for patient setup in image-guided radiotherapy. However, its inaccurate CT numbers limit its applicability in dose calculation and treatment planning.
Deep Learning Cone-Beam Computed Tomography Image Processing, Computer-Assisted Humans Nasopharyngeal Neoplasms Proton Therapy Spiral Cone-Beam Computed Tomography Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage
View on PubMed DOI

Contour subregion error detection methodology using deep learning auto-segmentation.

Medical physics Oct 4, 2023
BACKGROUND: Inaccurate manual organ delineation is one of the high-risk failure modes in radiation treatment. Numerous automated contour quality assurance (QA) systems have been developed to assess contour acceptability; however, manual inspection of...
Tomography, X-Ray Computed Deep Learning Image Processing, Computer-Assisted Humans Organs at Risk Radiotherapy Planning, Computer-Assisted Head and Neck Neoplasms Neck
View on PubMed DOI

Beam mask and sliding window-facilitated deep learning-based accurate and efficient dose prediction for pencil beam scanning proton therapy.

Medical physics Sep 25, 2023
BACKGROUND: Accurate and efficient dose calculation is essential for on-line adaptive planning in proton therapy. Deep learning (DL) has shown promising dose prediction results in photon therapy. However, there is a scarcity of DL-based dose predicti...
Protons Radiotherapy, Intensity-Modulated Proton Therapy Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Humans Male Lung Neoplasms Prostatic Neoplasms Deep Learning
View on PubMed DOI

Automatic dose prediction using deep learning and plan optimization with finite-element control for intensity modulated radiation therapy.

Medical physics Sep 25, 2023
BACKGROUND: Automatic solutions for generating radiotherapy treatment plans using deep learning (DL) have been investigated by mimicking the voxel's dose. However, plan optimization using voxel-dose features has not been extensively studied.
Female Uterine Cervical Neoplasms Humans Radiotherapy Planning, Computer-Assisted Deep Learning Radiotherapy Dosage Organs at Risk Radiotherapy, Intensity-Modulated
View on PubMed DOI

A new architecture combining convolutional and transformer-based networks for automatic 3D multi-organ segmentation on CT images.

Medical physics Sep 22, 2023
PURPOSE: Deep learning-based networks have become increasingly popular in the field of medical image segmentation. The purpose of this research was to develop and optimize a new architecture for automatic segmentation of the prostate gland and normal...
Humans Databases, Factual Tomography, X-Ray Computed Neural Networks, Computer Male Image Processing, Computer-Assisted
View on PubMed DOI

Exploring and validating the prognostic value of pathomics signatures and genomics in patients with cutaneous melanoma based on bioinformatics and deep learning.

Medical physics Sep 18, 2023
BACKGROUND: Cutaneous melanoma (CM) is the most common malignant tumor of the skin. Our study aimed to investigate the prognostic value of pathomics signatures for CM by combining pathomics and genomics.
Skin Neoplasms Computational Biology Deep Learning Melanoma, Cutaneous Malignant Genomics Prognosis Humans Melanoma
View on PubMed DOI

Deep learning-based dose prediction to improve the plan quality of volumetric modulated arc therapy for gynecologic cancers.

Medical physics Sep 14, 2023
BACKGROUND: In recent years, deep-learning models have been used to predict entire three-dimensional dose distributions. However, the usability of dose predictions to improve plan quality should be further investigated.
Organs at Risk Radiotherapy Planning, Computer-Assisted Radiotherapy, Intensity-Modulated Radiotherapy Dosage Neoplasms Deep Learning Humans Female
View on PubMed DOI

Fully automated sinogram-based deep learning model for detection and classification of intracranial hemorrhage.

Medical physics Sep 13, 2023
PURPOSE: To propose an automated approach for detecting and classifying Intracranial Hemorrhages (ICH) directly from sinograms using a deep learning framework. This method is proposed to overcome the limitations of the conventional diagnosis by elimi...
Tomography, X-Ray Computed Deep Learning Image Processing, Computer-Assisted Neural Networks, Computer Algorithms Intracranial Hemorrhages Humans
View on PubMed DOI

Real-time liver motion estimation via deep learning-based angle-agnostic X-ray imaging.

Medical physics Sep 13, 2023
BACKGROUND: Real-time liver imaging is challenged by the short imaging time (within hundreds of milliseconds) to meet the temporal constraint posted by rapid patient breathing, resulting in extreme under-sampling for desired 3D imaging. Deep learning...
Phantoms, Imaging Liver Neoplasms X-Rays Humans Motion Deep Learning
View on PubMed DOI

Simultaneous object detection and segmentation for patient-specific markerless lung tumor tracking in simulated radiographs with deep learning.

Medical physics Sep 8, 2023
BACKGROUND: Real-time tumor tracking is one motion management method to address motion-induced uncertainty. To date, fiducial markers are often required to reliably track lung tumors with X-ray imaging, which carries risks of complications and leads ...
Fiducial Markers Algorithms Lung Image Processing, Computer-Assisted Lung Neoplasms Deep Learning Humans
View on PubMed DOI
Popular Topics
Popular Journals