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Abdomen

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Intravoxel Incoherent Motion: Model-Free Determination of Tissue Type in Abdominal Organs Using Machine Learning.

Investigative radiology
PURPOSE: For diffusion data sets including low and high b-values, the intravoxel incoherent motion model is commonly applied to characterize tissue. The aim of the present study was to show that machine learning allows a model-free approach to determ...

Transfer Learning with Convolutional Neural Networks for Classification of Abdominal Ultrasound Images.

Journal of digital imaging
The purpose of this study is to evaluate transfer learning with deep convolutional neural networks for the classification of abdominal ultrasound images. Grayscale images from 185 consecutive clinical abdominal ultrasound studies were categorized int...

Automatic anatomy recognition in whole-body PET/CT images.

Medical physics
PURPOSE: Whole-body positron emission tomography/computed tomography (PET/CT) has become a standard method of imaging patients with various disease conditions, especially cancer. Body-wide accurate quantification of disease burden in PET/CT images is...

Effects of combined epidural analgesia with total intravenous anesthesia on risky patients underwent major abdominal surgery.

Agri : Agri (Algoloji) Dernegi'nin Yayin organidir = The journal of the Turkish Society of Algology
OBJECTIVES: The aim of this study is to investigate the effects of combined epidural analgesia with total intravenous anaesthesia and only total intravenous anaesthesia on the different clinical parameters.