AIMC Topic:
Ultrasonography

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Artificial intelligence approaches to improve kidney care.

Nature reviews. Nephrology Feb 1, 2020
Artificial intelligence is increasingly being used to improve diagnosis and prognostication for acute and chronic kidney diseases. Studies published in 2019 relied on a variety of available data sources towards this objective, including electronic he...
Humans Artificial Intelligence Transplants Image Interpretation, Computer-Assisted Nephrectomy Deep Learning Ultrasonography Renal Insufficiency, Chronic Biopsy Kidney Electronic Health Records Postoperative Complications Kidney Transplantation Acute Kidney Injury
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Deep Learning for Carotid Plaque Segmentation using a Dilated U-Net Architecture.

Ultrasonic imaging Jan 1, 2020
Carotid plaque segmentation in ultrasound longitudinal B-mode images using deep learning is presented in this work. We report on 101 severely stenotic carotid plaque patients. A standard U-Net is compared with a dilated U-Net architecture in which th...
Humans Deep Learning Carotid Arteries Plaque, Atherosclerotic Carotid Stenosis Ultrasonography Image Interpretation, Computer-Assisted
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Recognition of calcifications in thyroid nodules based on attention-gated collaborative supervision network of ultrasound images.

Journal of X-ray science and technology Jan 1, 2020
BACKGROUND: Calcification is an important criterion for classification between benign and malignant thyroid nodules. Deep learning provides an important means for automatic calcification recognition, but it is tedious to annotate pixel-level labels f...
Image Interpretation, Computer-Assisted Algorithms Ultrasonography Calcinosis Supervised Machine Learning Thyroid Nodule Humans
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Detection of Thyroid Nodules with Ultrasound Images Based on Deep Learning.

Current medical imaging reviews Jan 1, 2020
BACKGROUND: Thyroid nodules are a common clinical entity with high incidence. Ultrasound is often employed to detect and evaluate thyroid nodules. The development of an efficient automated method to detect thyroid nodules using ultrasound has the pot...
Ultrasonography Thyroid Nodule Neural Networks, Computer Deep Learning Humans
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Machine Learning by Ultrasonography for Genetic Risk Stratification of Thyroid Nodules.

JAMA otolaryngology-- head & neck surgery Jan 1, 2020
IMPORTANCE: Thyroid nodules are common incidental findings. Ultrasonography and molecular testing can be used to assess risk of malignant neoplasm.
Middle Aged Risk Assessment Thyroid Neoplasms Sensitivity and Specificity Male Predictive Value of Tests Ultrasonography Thyroid Nodule Machine Learning Female Humans
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Motion-compensated frame rate up-conversion in carotid ultrasound images using optical flow and manifold learning.

Turk Kardiyoloji Dernegi arsivi : Turk Kardiyoloji Derneginin yayin organidir Dec 1, 2019
OBJECTIVE: Carotid ultrasonography is a reliable and non-invasive method to evaluate atherosclerosis disease and its complications. B-mode cineloops are widely used to assess the severity of atherosclerosis and its progression; ho- wever, tracking ra...
Humans Algorithms Female Machine Learning Image Processing, Computer-Assisted Male Carotid Arteries Ultrasonography
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Reconstruct the Photoacoustic Image Based On Deep Learning with Multi-frequency Ring-shape Transducer Array.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Photoacoustic tomography (PAT) combines the superiorities of both optical imaging and ultrasound imaging, which provides rich optical absorption contrast with 3D spatial information by applying reconstruction algorithms. Classical reconstruction algo...
Photoacoustic Techniques Ultrasonography Transducers Algorithms Phantoms, Imaging Deep Learning
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Fully Automated Segmentation of Alveolar Bone Using Deep Convolutional Neural Networks from Intraoral Ultrasound Images.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Delineation of alveolar bone aids the diagnosis and treatment of periodontal diseases. In current practice, conventional 2D radiography and 3D cone-beam computed tomography (CBCT) imaging are used as the non-invasive approaches to image and delineate...
Image Processing, Computer-Assisted Ultrasonography Observer Variation Neural Networks, Computer Cone-Beam Computed Tomography Humans Machine Learning
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Ultrasound segmentation using U-Net: learning from simulated data and testing on real data.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Segmentation of ultrasound images is an essential task in both diagnosis and image-guided interventions given the ease-of-use and low cost of this imaging modality. As manual segmentation is tedious and time consuming, a growing body of research has ...
Ultrasonography Machine Learning Deep Learning
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Higher Order Statistical Analysis for Thyroid Texture Classification and Segmentation in 2D ultrasound Images.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Ultrasound (US) imaging is one of the most cost-effective imaging modality that utilizes sound waves for generating medical images of anatomical structure. However, the presence of speckle noise and low contrast in the US images makes it difficult to...
Normal Distribution Ultrasonography Support Vector Machine Sensitivity and Specificity Thyroid Gland Humans Algorithms
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