AIMC Topic: Liver

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Identifying gross post-mortem organ images using a pre-trained convolutional neural network.

Journal of forensic sciences Oct 26, 2020
Identifying organs/tissue and pathology on radiological and microscopic images can be performed using convolutional neural networks (CNN). However, there are scant studies on applying CNN to post-mortem gross images of visceral organs. This proof-of-...
Spleen Photography Forensic Pathology Kidney Liver Myocardium Humans Neural Networks, Computer Brain Lung Image Processing, Computer-Assisted
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AI finally provides augmented intelligence to liver surgeons.

EBioMedicine Oct 20, 2020
Deep Learning Fatty Liver Liver Humans Artificial Intelligence Surgeons Biopsy Liver Transplantation Primary Graft Dysfunction
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A Machine Learning Approach in Analyzing Bioaccumulation of Heavy Metals in Turbot Tissues.

Molecules (Basel, Switzerland) Oct 14, 2020
Metals are considered to be one of the most hazardous substances due to their potential for accumulation, magnification, persistence, and wide distribution in water, sediments, and aquatic organisms. Demersal fish species, such as turbot (), are acce...
Environmental Biomarkers Water Pollutants, Chemical Liver Metals, Heavy Europe Machine Learning Flatfishes Muscle, Skeletal Bioaccumulation Nonlinear Dynamics Animals Linear Models Environmental Monitoring
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Estimating 3-dimensional liver motion using deep learning and 2-dimensional ultrasound images.

International journal of computer assisted radiology and surgery Oct 3, 2020
PURPOSE: The main purpose of this study is to construct a system to track the tumor position during radiofrequency ablation (RFA) treatment. Existing tumor tracking systems are designed to track a tumor in a two-dimensional (2D) ultrasound (US) image...
Humans Image Processing, Computer-Assisted Neural Networks, Computer Radiofrequency Ablation Liver Organ Motion Deep Learning Ultrasonography Liver Neoplasms
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Robotic Resection of Postero-Superior Liver Segments (7,8) (with Video).

Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract Sep 18, 2020
BACKGROUND: Surgical resection is the standard treatment for colorectal liver metastases. Parenchyma-sparing technique should always be attemptedto prevent postoperative liver failure and increase the opportunity to perform repeated resections in cas...
Neoplasm Recurrence, Local Hepatectomy Humans Robotics Middle Aged Male Laparoscopy Liver Neoplasms Robotic Surgical Procedures Liver
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Convolutional neural networks versus radiologists in characterization of small hypoattenuating hepatic nodules on CT: a critical diagnostic challenge in staging of colorectal carcinoma.

Scientific reports Sep 17, 2020
Our objective was to compare the diagnostic performance and diagnostic confidence of convolutional neural networks (CNN) to radiologists in characterizing small hypoattenuating hepatic nodules (SHHN) in colorectal carcinoma (CRC) on CT scans. Retrosp...
Liver Neoplasms Humans Liver Neoplasm Staging Female Radiologists Male Expert Testimony Aged Young Adult Radiographic Image Interpretation, Computer-Assisted Middle Aged Aged, 80 and over Adult Neural Networks, Computer Observer Variation Diagnosis, Computer-Assisted Colorectal Neoplasms Retrospective Studies Tomography, X-Ray Computed
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Deep Learning for Automated Liver Segmentation to Aid in the Study of Infectious Diseases in Nonhuman Primates.

Academic radiology Sep 14, 2020
With the advent of deep learning, convolutional neural networks (CNNs) have evolved as an effective method for the automated segmentation of different tissues in medical image analysis. In certain infectious diseases, the liver is one of the more hig...
Primates Deep Learning Image Processing, Computer-Assisted Communicable Diseases Liver Animals
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Scattering Signatures of Normal versus Abnormal Livers with Support Vector Machine Classification.

Ultrasound in medicine & biology Sep 8, 2020
Fifty years of research on the nature of backscatter from tissues has resulted in a number of promising diagnostic parameters. We recently introduced two analyses tied directly to the biophysics of ultrasound scattering: the H-scan, based on a matche...
Liver Liver Diseases Animals Male Support Vector Machine Rats, Sprague-Dawley Ultrasonography Rats
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A 3D Deep Neural Network for Liver Volumetry in 3T Contrast-Enhanced MRI.

RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin Sep 3, 2020
PURPOSE:  To create a fully automated, reliable, and fast segmentation tool for Gd-EOB-DTPA-enhanced MRI scans using deep learning.
Liver Neural Networks, Computer Image Processing, Computer-Assisted Magnetic Resonance Imaging Humans
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Deep learning segmentation of general interventional tools in two-dimensional ultrasound images.

Medical physics Aug 30, 2020
PURPOSE: Many interventional procedures require the precise placement of needles or therapy applicators (tools) to correctly achieve planned targets for optimal diagnosis or treatment of cancer, typically leveraging the temporal resolution of ultraso...
Phantoms, Imaging Female Ultrasonography Male Liver Deep Learning Needles
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