AIMC Topic: Head

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Efficacy of a deep leaning model created with the transfer learning method in detecting sialoliths of the submandibular gland on panoramic radiography.

Oral surgery, oral medicine, oral pathology and oral radiology Aug 21, 2021
OBJECTIVE: This study aimed to compare the performance of 3 deep learning models, including a model constructed with the transfer learning method, in detecting submandibular gland sialoliths on panoramic radiographs.
Humans Head Salivary Gland Calculi Deep Learning Submandibular Gland Radiography, Panoramic
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Anthropometric Landmark Detection in 3D Head Surfaces Using a Deep Learning Approach.

IEEE journal of biomedical and health informatics Jul 27, 2021
Landmark labeling in 3D head surfaces is an important and routine task in clinical practice to evaluate head shape, namely to analyze cranial deformities or growth evolution. However, manual labeling is still applied, being a tedious and time-consumi...
Humans Anthropometry Deep Learning Imaging, Three-Dimensional Head
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[Robotics in otorhinolaryngology, head and neck surgery].

HNO Jul 16, 2021
In many surgical specialities, e.g., visceral surgery or urology, the use of robotic assistance is widely regarded as standard for many interventions. By contrast, in European otorhinolaryngology, robotic-assisted surgery (RAS) is rarely conducted. T...
Head Otolaryngology Robotics Robotic Surgical Procedures Head and Neck Neoplasms Neck Humans
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Using neural networks to extend cropped medical images for deformable registration among images with differing scan extents.

Medical physics Jul 11, 2021
PURPOSE: Missing or discrepant imaging volume is a common challenge in deformable image registration (DIR). To minimize the adverse impact, we train a neural network to synthesize cropped portions of head and neck CT's and then test its use in DIR.
Imaging, Three-Dimensional Image Processing, Computer-Assisted Head Neural Networks, Computer Neck Algorithms Humans
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Automatic fetal biometry prediction using a novel deep convolutional network architecture.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Jul 6, 2021
PURPOSE: Fetal biometric measurements face a number of challenges, including the presence of speckle, limited soft-tissue contrast and difficulties in the presence of low amniotic fluid. This work proposes a convolutional neural network for automatic...
Humans Ultrasonography Image Processing, Computer-Assisted Head Neural Networks, Computer Algorithms Biometry
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A review of deep learning based methods for medical image multi-organ segmentation.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) May 13, 2021
Deep learning has revolutionized image processing and achieved the-state-of-art performance in many medical image segmentation tasks. Many deep learning-based methods have been published to segment different parts of the body for different medical ap...
Organs at Risk Head Image Processing, Computer-Assisted Head and Neck Neoplasms Humans Deep Learning
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Automated EEG pathology detection based on different convolutional neural network models: Deep learning approach.

Computers in biology and medicine Apr 25, 2021
The brain electrical activity, recorded and materialized as electroencephalogram (EEG) signals, is known to be very useful in the diagnosis of brain-related pathology. However, manual examination of these EEG signals has various limitations, includin...
Neural Networks, Computer Deep Learning Humans Electroencephalography Support Vector Machine Head
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Calibrated uncertainty estimation for interpretable proton computed tomography image correction using Bayesian deep learning.

Physics in medicine and biology Mar 16, 2021
Integrated-type proton computed tomography (pCT) measures proton stopping power ratio (SPR) images for proton therapy treatment planning, but its image quality is degraded due to noise and scatter. Although several correction methods have been propos...
Head and Neck Neoplasms Bayes Theorem Calibration Monte Carlo Method Head Deep Learning Image Processing, Computer-Assisted Tomography, X-Ray Computed Reproducibility of Results Humans Phantoms, Imaging Uncertainty Protons Neural Networks, Computer Proton Therapy Algorithms
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FASHE: A FrActal Based Strategy for Head Pose Estimation.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Feb 25, 2021
Head pose estimation (HPE) represents a topic central to many relevant research fields and characterized by a wide application range. In particular, HPE performed using a singular RGB frame is particular suitable to be applied at best-frame-selection...
Male Fractals Face Algorithms Image Processing, Computer-Assisted Head Video Recording Female Humans Machine Learning
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An evaluation of MR based deep learning auto-contouring for planning head and neck radiotherapy.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Feb 24, 2021
INTRODUCTION: Auto contouring models help consistently define volumes and reduce clinical workload. This study aimed to evaluate the cross acquisition of a Magnetic Resonance (MR) deep learning auto contouring model for organ at risk (OAR) delineatio...
Deep Learning Head and Neck Neoplasms Radiotherapy Planning, Computer-Assisted Humans Head Magnetic Resonance Spectroscopy
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