AIMC Journal:
Medical physics

Showing 311 to 320 of 732 articles

Transfer learning for data-efficient abdominal muscle segmentation with convolutional neural networks.

Medical physics Feb 28, 2022
BACKGROUND: Skeletal muscle segmentation is an important procedure for assessing sarcopenia, an emerging imaging biomarker of patient frailty. Data annotation remains the bottleneck for training deep learning auto-segmentation models.
Abdominal Muscles Image Processing, Computer-Assisted Neural Networks, Computer Positron Emission Tomography Computed Tomography Machine Learning Humans
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Curv-Net: Curvilinear structure segmentation network based on selective kernel and multi-Bi-ConvLSTM.

Medical physics Feb 25, 2022
PURPOSE: Accurately segmenting curvilinear structures, for example, retinal blood vessels or nerve fibers, in the medical image is essential to the clinical diagnosis of many diseases. Recently, deep learning has become a popular technology to deal w...
Image Processing, Computer-Assisted Retinal Vessels Fundus Oculi Neural Networks, Computer Reproducibility of Results
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Accelerate treatment planning process using deep learning generated fluence maps for cervical cancer radiation therapy.

Medical physics Feb 25, 2022
PURPOSE: This study aims to develop a deep learning method that skips the time-consuming inverse optimization process for automatic generation of machine-deliverable intensity-modulated radiation therapy (IMRT) plans.
Radiotherapy, Intensity-Modulated Humans Deep Learning Radiotherapy Planning, Computer-Assisted Female Radiotherapy Dosage Uterine Cervical Neoplasms
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The challenges facing deep learning-based catheter localization for ultrasound guided high-dose-rate prostate brachytherapy.

Medical physics Feb 25, 2022
BACKGROUND: Automated catheter localization for ultrasound guided high-dose-rate prostate brachytherapy faces challenges relating to imaging noise and artifacts. To date, catheter reconstruction during the clinical procedure is performed manually. De...
Retrospective Studies Reproducibility of Results Humans Prostatic Neoplasms Ultrasonography, Interventional Prostate Male Deep Learning Catheters Brachytherapy Radiotherapy Dosage
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A deep learning system for automated kidney stone detection and volumetric segmentation on noncontrast CT scans.

Medical physics Feb 22, 2022
PURPOSE: Early detection and size quantification of renal calculi are important for optimizing treatment and preventing severe kidney stone disease. Prior work has shown that volumetric measurements of kidney stones are more informative and reproduci...
Humans Kidney Calculi Deep Learning Abdomen Neural Networks, Computer Tomography, X-Ray Computed
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Deep learning-based body part recognition algorithm for three-dimensional medical images.

Medical physics Feb 21, 2022
BACKGROUND: The automatic recognition of human body parts in three-dimensional medical images is important in many clinical applications. However, methods presented in prior studies have mainly classified each two-dimensional (2D) slice independently...
Deep Learning Imaging, Three-Dimensional Human Body Neural Networks, Computer Humans Algorithms
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Evaluating the clinical acceptability of deep learning contours of prostate and organs-at-risk in an automated prostate treatment planning process.

Medical physics Feb 21, 2022
BACKGROUND: Radiation treatment is considered an effective and the most common treatment option for prostate cancer. The treatment planning process requires accurate and precise segmentation of the prostate and organs at risk (OARs), which is laborio...
Radiotherapy Planning, Computer-Assisted Humans Prostate Male Organs at Risk Deep Learning Artificial Intelligence
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A back-projection-and-filtering-like (BPF-like) reconstruction method with the deep learning filtration from listmode data in TOF-PET.

Medical physics Feb 17, 2022
PURPOSE: The time-of-flight (TOF) information improves signal-to-noise ratio (SNR) for positron emission tomography (PET) imaging. Existing analytical algorithms for TOF PET usually follow a filtered back-projection process on reconstructing images f...
Phantoms, Imaging Deep Learning Image Processing, Computer-Assisted Positron-Emission Tomography Signal-To-Noise Ratio Algorithms
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Report on the AAPM deep-learning sparse-view CT grand challenge.

Medical physics Feb 9, 2022
PURPOSE: The purpose of the challenge is to find the deep-learning (DL) technique for sparse-view computed tomography (CT) image reconstruction that can yield the minimum root mean square error (RMSE) under ideal conditions, thereby addressing the qu...
Neural Networks, Computer Deep Learning Image Processing, Computer-Assisted Phantoms, Imaging Algorithms Tomography, X-Ray Computed
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Automatic segmentation of magnetic resonance images for high-dose-rate cervical cancer brachytherapy using deep learning.

Medical physics Feb 9, 2022
PURPOSE: Magnetic resonance (MR) imaging is the gold standard in image-guided brachytherapy (IGBT) due to its superior soft-tissue contrast for target and organs-at-risk (OARs) delineation. Accurate and fast segmentation of MR images are very importa...
Radiotherapy Dosage Radiotherapy Planning, Computer-Assisted Brachytherapy Female Uterine Cervical Neoplasms Deep Learning Humans Magnetic Resonance Imaging
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