AIMC Journal:
Medical physics

Showing 471 to 480 of 732 articles

FecalNet: Automated detection of visible components in human feces using deep learning.

Medical physics Jul 18, 2020
PURPOSE: To automate the detection and identification of visible components in feces for early diagnosis of gastrointestinal diseases, we propose FecalNet, a method using multiple deep neural networks.
Feces Neural Networks, Computer Microscopy Leukocytes Deep Learning Humans
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Deep learning applications in automatic needle segmentation in ultrasound-guided prostate brachytherapy.

Medical physics Jul 16, 2020
PURPOSE: High-Dose-Rate (HDR) brachytherapy is one of the most effective ways to treat the prostate cancer, which is the second most common cancer in men worldwide. This treatment delivers highly conformal dose through the transperineal needle implan...
Deep Learning Prostatic Neoplasms Humans Male Needles Brachytherapy Ultrasonography, Interventional Prostate
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Feasibility and analysis of CNN-based candidate beam generation for robotic radiosurgery.

Medical physics Jul 8, 2020
PURPOSE: Robotic radiosurgery offers the flexibility of a robotic arm to enable high conformity to the target and a steep dose gradient. However, treatment planning becomes a computationally challenging task as the search space for potential beam dir...
Radiotherapy Dosage Radiosurgery Feasibility Studies Radiotherapy Planning, Computer-Assisted Humans Robotics Robotic Surgical Procedures
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Temporally coherent cardiac motion tracking from cine MRI: Traditional registration method and modern CNN method.

Medical physics Jul 6, 2020
PURPOSE: Cardiac motion tracking enables quantitative evaluation of myocardial strain, which is clinically interesting in cardiovascular disease research. However, motion tracking is difficult to perform manually. In this paper, we aim to develop and...
Magnetic Resonance Imaging, Cine Myocardium Heart Algorithms Magnetic Resonance Imaging Humans Neural Networks, Computer
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Deep learning based spectral extrapolation for dual-source, dual-energy x-ray computed tomography.

Medical physics Jul 6, 2020
PURPOSE: Data completion is commonly employed in dual-source, dual-energy computed tomography (CT) when physical or hardware constraints limit the field of view (FoV) covered by one of two imaging chains. Practically, dual-energy data completion is a...
Phantoms, Imaging X-Rays Humans Algorithms Tomography, X-Ray Computed Deep Learning
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Noise and spatial resolution properties of a commercially available deep learning-based CT reconstruction algorithm.

Medical physics Jul 6, 2020
PURPOSE: To characterize the noise and spatial resolution properties of a commercially available deep learning-based computed tomography (CT) reconstruction algorithm.
Humans Algorithms Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Tomography, X-Ray Computed Phantoms, Imaging Deep Learning
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Evaluation of a deep learning-based computer-aided diagnosis system for distinguishing benign from malignant thyroid nodules in ultrasound images.

Medical physics Jun 25, 2020
PURPOSE: Computer-aided diagnosis (CAD) systems assist in solving subjective diagnosis problems that typically rely on personal experience. A CAD system has been developed to differentiate malignant thyroid nodules from benign thyroid nodules in ultr...
Deep Learning Ultrasonography Thyroid Nodule Humans Sensitivity and Specificity Computers Diagnosis, Computer-Assisted
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Hybrid adversarial-discriminative network for leukocyte classification in leukemia.

Medical physics Jun 24, 2020
PURPOSE: Leukemia is a lethal disease that is harmful to bone marrow and overall blood health. The classification of white blood cell images is crucial for leukemia diagnosis. The purpose of this study is to classify white blood cells by extracting d...
Leukemia Support Vector Machine Leukocytes Humans Neural Networks, Computer
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Deep learning for identification of critical regions associated with toxicities after liver stereotactic body radiation therapy.

Medical physics Jun 3, 2020
PURPOSE: Radiation therapy (RT) is prescribed for curative and palliative treatment for around 50% of patients with solid tumors. Radiation-induced toxicities of healthy organs accompany many RTs and represent one of the main limiting factors during ...
Carcinoma, Hepatocellular Radiosurgery Humans Deep Learning Liver Neoplasms
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Hippocampus segmentation on noncontrast CT using deep learning.

Medical physics Jun 2, 2020
PURPOSE: Accurate segmentation of the hippocampus for hippocampal avoidance whole-brain radiotherapy currently requires high-resolution magnetic resonance imaging (MRI) in addition to neuroanatomic expertise for manual segmentation. Removing the need...
Reproducibility of Results Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Retrospective Studies Tomography, X-Ray Computed Humans Hippocampus
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