AIMC Journal:
Medical physics

Showing 571 to 580 of 759 articles

Hyper-reflective foci segmentation in SD-OCT retinal images with diabetic retinopathy using deep convolutional neural networks.

Medical physics Aug 22, 2019
PURPOSE: The purpose of this study was to automatically and accurately segment hyper-reflective foci (HRF) in spectral domain optical coherence tomography (SD-OCT) images with diabetic retinopathy (DR) using deep convolutional neural networks.
Humans Tomography, Optical Coherence Diabetic Retinopathy Eye Deep Learning Image Processing, Computer-Assisted
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Cross-modality (CT-MRI) prior augmented deep learning for robust lung tumor segmentation from small MR datasets.

Medical physics Aug 20, 2019
PURPOSE: Accurate tumor segmentation is a requirement for magnetic resonance (MR)-based radiotherapy. Lack of large expert annotated MR datasets makes training deep learning models difficult. Therefore, a cross-modality (MR-CT) deep learning segmenta...
Deep Learning Image Processing, Computer-Assisted Lung Neoplasms Carcinoma, Non-Small-Cell Lung Magnetic Resonance Imaging Multimodal Imaging Humans Tomography, X-Ray Computed
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A self-supervised strategy for fully automatic segmentation of renal dynamic contrast-enhanced magnetic resonance images.

Medical physics Aug 16, 2019
PURPOSE: An automated accurate segmentation for dynamic contrast-enhanced magnetic resonance (DCE-MR) image sequences is essential for quantification of renal function. A self-supervised strategy is proposed for fully automatic segmentation of the re...
Image Processing, Computer-Assisted Kidney Contrast Media Female Male Middle Aged Magnetic Resonance Imaging Supervised Machine Learning Automation Humans
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Knowledge-based and deep learning-based automated chest wall segmentation in magnetic resonance images of extremely dense breasts.

Medical physics Aug 10, 2019
PURPOSE: Segmentation of the chest wall, is an important component of methods for automated analysis of breast magnetic resonance imaging (MRI). Methods reported to date show promising results but have difficulties delineating the muscle border corre...
Aged, 80 and over Middle Aged Deep Learning Humans Female Aged Image Processing, Computer-Assisted Automation Magnetic Resonance Imaging Thoracic Wall Breast Breast Density
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Synthetic CT reconstruction using a deep spatial pyramid convolutional framework for MR-only breast radiotherapy.

Medical physics Aug 7, 2019
PURPOSE: The superior soft-tissue contrast achieved using magnetic resonance imaging (MRI) compared to x-ray computed tomography (CT) has led to the popularization of MRI-guided radiation therapy (MR-IGRT), especially in recent years with the advent ...
Tomography, X-Ray Computed Radiotherapy Dosage Breast Neoplasms Radiotherapy, Image-Guided Deep Learning Image Processing, Computer-Assisted Humans Magnetic Resonance Imaging Radiotherapy Planning, Computer-Assisted
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MRI super-resolution reconstruction for MRI-guided adaptive radiotherapy using cascaded deep learning: In the presence of limited training data and unknown translation model.

Medical physics Aug 7, 2019
PURPOSE: Deep learning (DL)-based super-resolution (SR) reconstruction for magnetic resonance imaging (MRI) has recently been receiving attention due to the significant improvement in spatial resolution compared to conventional SR techniques. Challen...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Respiration Signal-To-Noise Ratio Radiotherapy, Image-Guided Humans Deep Learning Imaging, Three-Dimensional
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Fully automated identification of skin morphology in raster-scan optoacoustic mesoscopy using artificial intelligence.

Medical physics Aug 6, 2019
PURPOSE: Identification of morphological characteristics of skin lesions is of vital importance in diagnosing diseases with dermatological manifestations. This task is often performed manually or in an automated way based on intensity level. Recently...
Middle Aged Image Processing, Computer-Assisted Skin Automation Photoacoustic Techniques Aged, 80 and over Adult Male Female Aged Humans Artificial Intelligence
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A performance comparison of convolutional neural network-based image denoising methods: The effect of loss functions on low-dose CT images.

Medical physics Aug 6, 2019
PURPOSE: Convolutional neural network (CNN)-based image denoising techniques have shown promising results in low-dose CT denoising. However, CNN often introduces blurring in denoised images when trained with a widely used pixel-level loss function. P...
Humans Neural Networks, Computer Tomography, X-Ray Computed Signal-To-Noise Ratio Image Processing, Computer-Assisted Radiation Dosage
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Automated 4π radiotherapy treatment planning with evolving knowledge-base.

Medical physics Jul 26, 2019
PURPOSE: Non-coplanar 4π radiotherapy generalizes intensity modulated radiation therapy (IMRT) to automate beam geometry selection but requires complicated hyperparameter tuning to attain superior plan quality, which can be tedious and inconsistent. ...
Automation Head and Neck Neoplasms Radiotherapy Dosage Humans Knowledge Bases Radiotherapy, Intensity-Modulated Lung Neoplasms Radiotherapy Planning, Computer-Assisted
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Deep learning approaches using 2D and 3D convolutional neural networks for generating male pelvic synthetic computed tomography from magnetic resonance imaging.

Medical physics Jul 26, 2019
PURPOSE: The improved soft tissue contrast of magnetic resonance imaging (MRI) compared to computed tomography (CT) makes it a useful imaging modality for radiotherapy treatment planning. Even when MR images are acquired for treatment planning, the s...
Male Middle Aged Deep Learning Pelvis Aged Image Processing, Computer-Assisted Humans Aged, 80 and over Magnetic Resonance Imaging Retrospective Studies Prostatic Neoplasms Tomography, X-Ray Computed
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