AIMC Topic: Liver

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RA V-Net: deep learning network for automated liver segmentation.

Physics in medicine and biology Jun 16, 2022
Segmenting liver from CT images is the first step for doctors to diagnose a patient's disease. Processing medical images with deep learning models has become a current research trend. Although it can automate segmenting region of interest of medical ...
Humans Neural Networks, Computer Image Processing, Computer-Assisted Liver Peptides, Cyclic Disease Progression Deep Learning Tomography, X-Ray Computed
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Liver Damage Is Related to the Degree of Being Underweight in Anorexia Nervosa and Improves Rapidly with Weight Gain.

Nutrients Jun 8, 2022
Background: The present study investigates the relationship between hypertransaminasemia and malnutrition on the basis of a very large number of patients. We assume that the level of transaminases not only reflects the extent of underlying liver cell...
Transaminases Anorexia Nervosa Weight Gain Thinness Aged Child Middle Aged Young Adult Humans Body Mass Index Adolescent Liver Female Adult
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Imaging-based deep learning in liver diseases.

Chinese medical journal Jun 5, 2022
Liver Diseases Image Processing, Computer-Assisted Humans Liver Deep Learning
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Metabonomic and transcriptomic analyses of glycosides tablet-induced hepatotoxicity in rats.

Drug and chemical toxicology May 23, 2022
We aimed to explore novel biomarkers involved in alterations of metabolism and gene expression related to the hepatotoxic effects of glycosides tablet (TGT) in rats. Rats were randomly divided into groups based on oral administration of TGTs for 6 w...
Drugs, Chinese Herbal Chemical and Drug Induced Liver Injury Glycosides Transcriptome Rats Tablets Biomarkers Tripterygium Liver Animals
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Learning-based autonomous vascular guidewire navigation without human demonstration in the venous system of a porcine liver.

International journal of computer assisted radiology and surgery May 23, 2022
PURPOSE: The navigation of endovascular guidewires is a dexterous task where physicians and patients can benefit from automation. Machine learning-based controllers are promising to help master this task. However, human-generated training data are sc...
Computer Simulation Animals Liver Swine Humans Neural Networks, Computer Machine Learning
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Efficient Liver Segmentation from Computed Tomography Images Using Deep Learning.

Computational intelligence and neuroscience May 18, 2022
Segmentation of a liver in computed tomography (CT) images is an important step toward quantitative biomarkers for a computer-aided decision support system and precise medical diagnosis. To overcome the difficulties that come across the liver segment...
Algorithms Tomography, X-Ray Computed Liver Deep Learning Machine Learning
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Robotic Revision of Hepaticojejunostomy for Benign Biliary Stricture.

The American surgeon May 15, 2022
Surgical revision of biliary enteric anastomoses (BEA) can be a challenging undertaking and a robotic platform may provide advantages that address many of the technical obstacles. We present our technical approach and outcomes for patients undergoing...
Treatment Outcome Liver Robotics Retrospective Studies Postoperative Complications Reoperation Cholestasis Robotic Surgical Procedures Constriction, Pathologic Humans
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Toward automatic beam angle selection for pencil-beam scanning proton liver treatments: A deep learning-based approach.

Medical physics May 11, 2022
BACKGROUND: Dose deposition characteristics of proton radiation can be advantageous over photons. Proton treatment planning, however, poses additional challenges for the planners. Proton therapy is usually delivered with only a small number of beam a...
Humans Radiotherapy, Intensity-Modulated Proton Therapy Protons Deep Learning Liver Pilot Projects Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage
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Robot-assisted liver resection: the real benefit so far.

Langenbeck's archives of surgery Apr 30, 2022
BACKGROUND: Minimally invasive liver resection is associated with lower perioperative morbidity and shorter hospital stay. However, the added benefit of the robotic platform over conventional laparoscopy is a matter of ongoing investigation.
Humans Hepatectomy Liver Robotic Surgical Procedures Length of Stay Robotics Liver Neoplasms Laparoscopy
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Using deep learning to predict abdominal age from liver and pancreas magnetic resonance images.

Nature communications Apr 13, 2022
With age, the prevalence of diseases such as fatty liver disease, cirrhosis, and type two diabetes increases. Approaches to both predict abdominal age and identify risk factors for accelerated abdominal age may ultimately lead to advances that will d...
Neural Networks, Computer Image Processing, Computer-Assisted Magnetic Resonance Imaging Liver Deep Learning Pancreas
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