AIMC Topic: Head

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PSFHS: Intrapartum ultrasound image dataset for AI-based segmentation of pubic symphysis and fetal head.

Scientific data May 2, 2024
During the process of labor, the intrapartum transperineal ultrasound examination serves as a valuable tool, allowing direct observation of the relative positional relationship between the pubic symphysis and fetal head (PSFH). Accurate assessment of...
Humans Artificial Intelligence Pregnancy Head Fetus Pubic Symphysis Female Ultrasonography, Prenatal
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Improved hypertensive stroke classification based on multi-scale feature fusion of head axial CT angiogram and multimodal learning.

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) Apr 29, 2024
PURPOSE: Strokes are severe cardiovascular and circulatory diseases with two main types: ischemic and hemorrhagic. Clinically, brain images such as computed tomography (CT) and computed tomography angiography (CTA) are widely used to recognize stroke...
Stroke Head Computed Tomography Angiography Image Processing, Computer-Assisted Hypertension Machine Learning Brain Humans
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Effect of MR head coil geometry on deep-learning-based MR image reconstruction.

Magnetic resonance in medicine Apr 22, 2024
PURPOSE: To investigate whether parallel imaging-imposed geometric coil constraints can be relaxed when using a deep learning (DL)-based image reconstruction method as opposed to a traditional non-DL method.
Brain Deep Learning Image Processing, Computer-Assisted Humans Algorithms Signal-To-Noise Ratio Phantoms, Imaging Magnetic Resonance Imaging Head
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Influence of deep learning image reconstruction algorithm for reducing radiation dose and image noise compared to iterative reconstruction and filtered back projection for head and chest computed tomography examinations: a systematic review.

F1000Research Apr 15, 2024
BACKGROUND: The most recent advances in Computed Tomography (CT) image reconstruction technology are Deep learning image reconstruction (DLIR) algorithms. Due to drawbacks in Iterative reconstruction (IR) techniques such as negative image texture and...
Head Algorithms Radiography, Thoracic Tomography, X-Ray Computed Thorax Deep Learning Radiation Dosage Humans Signal-To-Noise Ratio Image Processing, Computer-Assisted
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Estimate and compensate head motion in non-contrast head CT scans using partial angle reconstruction and deep learning.

Medical physics Apr 3, 2024
BACKGROUND: Patient head motion is a common source of image artifacts in computed tomography (CT) of the head, leading to degraded image quality and potentially incorrect diagnoses. The partial angle reconstruction (PAR) means dividing the CT project...
Phantoms, Imaging Head Movements Humans Image Processing, Computer-Assisted Artifacts Tomography, X-Ray Computed Head Deep Learning
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Comparison of natural language processing algorithms in assessing the importance of head computed tomography reports written in Japanese.

Japanese journal of radiology Mar 29, 2024
PURPOSE: To propose a five-point scale for radiology report importance called Report Importance Category (RIC) and to compare the performance of natural language processing (NLP) algorithms in assessing RIC using head computed tomography (CT) reports...
Radiology Information Systems Male East Asian People Japan Head Natural Language Processing Algorithms Tomography, X-Ray Computed Humans Female
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An enhancement algorithm for head characteristics of caged chickens detection based on cyclic consistent migration neural network.

Poultry science Mar 15, 2024
The enclosed multistory poultry housing is a type of poultry enclosure widely used in industrial caged chicken breeding. Accurate identification and detection of the comb and eyes of caged chickens in poultry farms using this type of enclosure can en...
Animals Animal Husbandry Chickens Housing, Animal Neural Networks, Computer Head Algorithms Deep Learning
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Artificial intelligence: The future for multimodality imaging of right ventricle.

International journal of cardiology Mar 14, 2024
The crucial pathophysiological and prognostic roles of the right ventricle in various diseases have been well-established. Nonetheless, conventional cardiovascular imaging modalities are frequently associated with intrinsic limitations when evaluatin...
Heart Ventricles Head Artificial Intelligence Multimodal Imaging Humans
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Enhancing paranasal sinus disease detection with AutoML: efficient AI development and evaluation via magnetic resonance imaging.

European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery Jan 10, 2024
PURPOSE: Artificial intelligence (AI) in the form of automated machine learning (AutoML) offers a new potential breakthrough to overcome the barrier of entry for non-technically trained physicians. A Clinical Decision Support System (CDSS) for screen...
Paranasal Sinus Diseases Magnetic Resonance Imaging Head Humans Artificial Intelligence Machine Learning
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Accuracy of ChatGPT generated diagnosis from patient's medical history and imaging findings in neuroradiology cases.

Neuroradiology Nov 23, 2023
PURPOSE: The noteworthy performance of Chat Generative Pre-trained Transformer (ChatGPT), an artificial intelligence text generation model based on the GPT-4 architecture, has been demonstrated in various fields; however, its potential applications i...
Neck Head Humans Brain Artificial Intelligence Neoplasms
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