Search Results - "Udriștoiu, Ștefan"
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Real-time computer-aided diagnosis of focal pancreatic masses from endoscopic ultrasound imaging based on a hybrid convolutional and long short-term memory neural network model
Published in PloS one (28-06-2021)“…Differential diagnosis of focal pancreatic masses is based on endoscopic ultrasound (EUS) guided fine needle aspiration biopsy (EUS-FNA/FNB). Several imaging…”
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Intelligent Diagnosis of Thyroid Ultrasound Imaging Using an Ensemble of Deep Learning Methods
Published in Medicina (Kaunas, Lithuania) (19-04-2021)“…: At present, thyroid disorders have a great incidence in the worldwide population, so the development of alternative methods for improving the diagnosis…”
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Transfer learning with pre-trained deep convolutional neural networks for the automatic assessment of liver steatosis in ultrasound images
Published in Medical ultrasonography (01-01-2021)“…Aim: In this paper we proposed different architectures of convolutional neural network (CNN) to classify fatty liver disease in images using only pixels and…”
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COVID-19 and Artificial Intelligence: An Approach to Forecast the Severity of Diagnosis
Published in Life (Basel, Switzerland) (22-11-2021)“…(1) Background: The new SARS-COV-2 pandemic overwhelmed intensive care units, clinicians, and radiologists, so the development of methods to forecast the…”
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Skin Diseases Classification Using Deep Leaning Methods
Published in Current health sciences journal (01-04-2020)“…Due to the high incidence of skin tumors, the development of computer aided-diagnosis methods will become a very powerful diagnosis tool for dermatologists…”
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A REVIEW OF DEEP LEARNING IN MEDICAL PRACTICE
Published in Research and science today (01-04-2021)“…DEEP LEARNING HAS BEEN USED FREQUENTLY IN MEDICAL IMAGING TASKS SINCE ITS CREATION, AND HAS SEEN NOTABLE IMPROVEMENT IN A VARIETY OF MEDICAL IMAGING…”
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A Cross-Sectional Study to Assess Thyroid Function in Infants and Children in a City from South-Western Romania
Published in Current health sciences journal (01-07-2021)“…Thyroid hormones are critical regulators of growth, myelination of the nervous system, metabolism, and organ function. The most prevalent endocrinopathies in…”
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Assessment of Deep Learning Methods for Differentiating Autoimmune Disorders in Ultrasound Images
Published in Current health sciences journal (01-04-2021)“…At present, deep learning becomes an important tool in medical image analysis, with good performance in diagnosing, pattern detection, and segmentation…”
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An experimental framework for learning the medical image diagnosis
Published in Proceedings of the ITI 2011, 33rd International Conference on Information Technology Interfaces (01-06-2011)“…In this paper we propose a framework in which some methods are compared to achieve the medical diagnosis based on image analysis. The proposed framework…”
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Conference Proceeding -
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Image Annotation by Learning Rules from Regions Patterns
Published in 2010 International Conference on Complex, Intelligent and Software Intensive Systems (01-02-2010)“…The modeling of multimedia and especially the semantic gap between the visual features and semantic concepts become an important domain due to the quantity of…”
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Conference Proceeding -
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Mapping Image Low-Level Descriptors to Semantic Concepts
Published in 2008 The Third International Multi-Conference on Computing in the Global Information Technology (iccgi 2008) (01-07-2008)“…Our goal is to organize the image contents semantically. In this paper, we propose a method to classify the images semantically, using the C-fuzzy algorithm to…”
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Conference Proceeding -
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Improving an image retrieval system by integrating semantic features
Published in 2008 Conference on Human System Interactions (01-05-2008)“…To develop image navigation systems, we need tools to realize the semantic relationship between user and database. In this paper, it is presented an indexing…”
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Conference Proceeding