AIMC Journal:
Medical physics

Showing 321 to 330 of 732 articles

A hybrid optimization strategy for deliverable intensity-modulated radiotherapy plan generation using deep learning-based dose prediction.

Medical physics Feb 9, 2022
PURPOSE: To propose a clinically feasible automatic planning solution for external beam intensity-modulated radiotherapy, including dose prediction via a deep learning and voxel-based optimization strategy.
Nasopharyngeal Neoplasms Radiotherapy Dosage Radiotherapy, Intensity-Modulated Organs at Risk Humans China Radiotherapy Planning, Computer-Assisted Deep Learning
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General and custom deep learning autosegmentation models for organs in head and neck, abdomen, and male pelvis.

Medical physics Feb 7, 2022
PURPOSE: To reduce workload and inconsistencies in organ segmentation for radiation treatment planning, we developed and evaluated general and custom autosegmentation models on computed tomography (CT) for three major tumor sites using a well-establi...
Deep Learning Image Processing, Computer-Assisted Abdomen Humans Male Organs at Risk Radiotherapy Planning, Computer-Assisted Head and Neck Neoplasms Pelvis
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Deep learning-based AI model for signet-ring cell carcinoma diagnosis and chemotherapy response prediction in gastric cancer.

Medical physics Feb 1, 2022
PURPOSE: We aimed to develop a noninvasive artificial intelligence (AI) model to diagnose signet-ring cell carcinoma (SRCC) of gastric cancer (GC) and identify patients with SRCC who could benefit from postoperative chemotherapy based on preoperative...
Humans Deep Learning Artificial Intelligence ROC Curve Stomach Neoplasms Carcinoma, Signet Ring Cell
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Site-agnostic 3D dose distribution prediction with deep learning neural networks.

Medical physics Jan 27, 2022
PURPOSE: Typically, the current dose prediction models are limited to small amounts of data and require retraining for a specific site, often leading to suboptimal performance. We propose a site-agnostic, three-dimensional dose distribution predictio...
Organs at Risk Male Humans Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Deep Learning Neural Networks, Computer Radiotherapy, Intensity-Modulated
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Multiresolution residual deep neural network for improving pelvic CBCT image quality.

Medical physics Jan 27, 2022
PURPOSE: Cone-beam computed tomography (CBCT) is frequently used for accurate image-guided radiation therapy. However, the poor CBCT image quality prevents its further clinical use. Thus, it is important to improve the HU accuracy and structure prese...
Deep Learning Cone-Beam Computed Tomography Neural Networks, Computer Humans Radiotherapy Dosage Image Processing, Computer-Assisted Male Spiral Cone-Beam Computed Tomography Radiotherapy Planning, Computer-Assisted
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Development of a deep learning-based patient-specific target contour prediction model for markerless tumor positioning.

Medical physics Jan 27, 2022
PURPOSE: For pancreatic cancer patients, image guided radiation therapy and real-time tumor tracking (RTTT) techniques can deliver radiation to the target accurately. Currently, for the radiation therapy machine with kV X-ray imaging systems, interna...
Four-Dimensional Computed Tomography Radiotherapy, Intensity-Modulated Radiotherapy, Image-Guided Neoplasms Humans Deep Learning
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Quantification of uptake in pelvis F-18 FLT PET-CT images using a 3D localization and segmentation CNN.

Medical physics Jan 19, 2022
PURPOSE: The purpose of this work was to develop and validate a deep convolutional neural network (CNN) approach for the automated pelvis segmentation in computed tomography (CT) scans to enable the quantification of active pelvic bone marrow by mean...
Neural Networks, Computer Positron Emission Tomography Computed Tomography Pelvis Image Processing, Computer-Assisted Radiopharmaceuticals Dideoxynucleosides
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Performance of a deep learning-based CT image denoising method: Generalizability over dose, reconstruction kernel, and slice thickness.

Medical physics Jan 19, 2022
PURPOSE: Deep learning (DL) is rapidly finding applications in low-dose CT image denoising. While having the potential to improve the image quality (IQ) over the filtered back projection method (FBP) and produce images quickly, performance generaliza...
Signal-To-Noise Ratio Phantoms, Imaging Algorithms Tomography, X-Ray Computed Image Processing, Computer-Assisted Humans Deep Learning Radiation Dosage Neural Networks, Computer
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Edge-enhancement densenet for X-ray fluoroscopy image denoising in cardiac electrophysiology procedures.

Medical physics Jan 18, 2022
PURPOSE: Reducing X-ray dose increases safety in cardiac electrophysiology procedures but also increases image noise and artifacts which may affect the discernibility of devices and anatomical cues. Previous denoising methods based on convolutional n...
Fluoroscopy Signal-To-Noise Ratio Electrophysiologic Techniques, Cardiac X-Rays Humans Neural Networks, Computer
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TransDIR: Deformable imaging registration network based on transformer to improve the feature extraction ability.

Medical physics Jan 18, 2022
PURPOSE: Imaging registration has a significant contribution to guide and support physicians in the process of decision-making for diagnosis, prognosis, and treatment. However, existing registration methods based on the convolutional neural network c...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Tomography, X-Ray Computed Imaging, Three-Dimensional Neural Networks, Computer
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