AIMC Topic: Abdomen

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Interactive content-based image retrieval with deep learning for CT abdominal organ recognition.

Physics in medicine and biology Feb 5, 2024
Recognizing the most relevant seven organs in an abdominal computed tomography (CT) slice requires sophisticated knowledge. This study proposed automatically extracting relevant features and applying them in a content-based image retrieval (CBIR) sys...
Deep Learning Abdomen Liver Tomography, X-Ray Computed Lung
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Analysis of neural networks for routine classification of sixteen ultrasound upper abdominal cross sections.

Abdominal radiology (New York) Jan 12, 2024
PURPOSE: Abdominal ultrasound screening requires the capture of multiple standardized plane views as per clinical guidelines. Currently, the extent of adherence to such guidelines is dependent entirely on the skills of the sonographer. The use of neu...
Humans Neural Networks, Computer Abdomen Ultrasonography Kidney
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A newly developed deep learning-based system for automatic detection and classification of small bowel lesions during double-balloon enteroscopy examination.

BMC gastroenterology Jan 2, 2024
BACKGROUND: Double-balloon enteroscopy (DBE) is a standard method for diagnosing and treating small bowel disease. However, DBE may yield false-negative results due to oversight or inexperience. We aim to develop a computer-aided diagnostic (CAD) sys...
Endoscopy, Gastrointestinal Deep Learning Intestine, Small Humans Double-Balloon Enteroscopy Abdomen Intestinal Diseases Retrospective Studies
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A 5G-based telerobotic ultrasound system provides qualified abdominal ultrasound services for patients on a rural island: a prospective and comparative study of 401 patients.

Abdominal radiology (New York) Dec 15, 2023
PURPOSE: To explore the feasibility of a 5G-based telerobotic ultrasound (US) system for providing qualified abdominal US services on a rural island.
Humans Adult Male Middle Aged Prospective Studies Female Aged Abdomen Ultrasonography Robotics Kidney
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Comparison of Ultrasound-Guided Anterior, Posterior and Combination of Quadratus Lumborum Block in Laparoscopic Abdominal Surgeries: A Pilot Study.

Asian journal of anesthesiology Dec 1, 2023
BACKGROUND: The quadratus lumborum block (QLB) is an effective technique to provide analgesia for upper and lower abdominal surgeries. There are various approaches described in the literature, but the best approach is still to be explored. This study...
Laparoscopy Ultrasonography, Interventional Male Abdominal Muscles Pain, Postoperative Aged Pilot Projects Middle Aged Young Adult Adolescent Humans Dexmedetomidine Adult Abdomen Nerve Block Female Bupivacaine Anesthetics, Local
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Elevating healthcare through artificial intelligence: analyzing the abdominal emergencies data set (TR_ABDOMEN_RAD_EMERGENCY) at TEKNOFEST-2022.

European radiology Nov 10, 2023
OBJECTIVES: The artificial intelligence competition in healthcare at TEKNOFEST-2022 provided a platform to address the complex multi-class classification challenge of abdominal emergencies using computer vision techniques. This manuscript aimed to co...
Emergencies Abdomen Datasets as Topic Humans Artificial Intelligence Algorithms
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Deep learning-based age estimation from clinical Computed Tomography image data of the thorax and abdomen in the adult population.

PloS one Nov 7, 2023
Aging is an important risk factor for disease, leading to morphological change that can be assessed on Computed Tomography (CT) scans. We propose a deep learning model for automated age estimation based on CT- scans of the thorax and abdomen generate...
Male Middle Aged Deep Learning Image Processing, Computer-Assisted Abdomen Aged, 80 and over Young Adult Humans Adult Thorax Reproducibility of Results Tomography, X-Ray Computed Aged Female
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Feasibility and Safety of 5G-Based Telerobotic Abdominal Ultrasonography.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine Nov 2, 2023
OBJECTIVE: Telemedicine can offer services to remote patients regardless of the distance. Fifth-generation (5G) mobile networks may make telemedicine practical because of their low latency. This study aimed to evaluate the feasibility and safety of a...
Feasibility Studies Telemedicine Abdomen Robotics Humans Ultrasonography
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Deep Learning Framework for Liver Segmentation from -Weighted MRI Images.

Sensors (Basel, Switzerland) Nov 1, 2023
The human liver exhibits variable characteristics and anatomical information, which is often ambiguous in radiological images. Machine learning can be of great assistance in automatically segmenting the liver in radiological images, which can be furt...
Humans Magnetic Resonance Imaging Deep Learning Liver Image Processing, Computer-Assisted Abdomen
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[Physical Properties of Small Focal Spot Imaging with Deep Learning Reconstruction in Chest-abdominal Plain CT].

Nihon Hoshasen Gijutsu Gakkai zasshi Oct 25, 2023
PURPOSE: The aim of this study was to compare the physical properties of small focal spot imaging with deep learning reconstruction (DLR) and small or large focal spot imaging with hybrid iterative reconstruction (IR) in chest-abdominal plain compute...
Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Tomography, X-Ray Computed Deep Learning Algorithms Abdomen
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