Results 31 to 40 of about 1,481,089 (317)
European Radiology Experimental, 2020 Background Automated segmentation of anatomical structures is a crucial step in image analysis. For lung segmentation in computed tomography, a variety of approaches exists, involving sophisticated pipelines trained and validated on different datasets ...
Johannes Hofmanninger +5 more
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Automated Disease Detection in Gastroscopy Videos Using Convolutional Neural Networks
Frontiers in Medicine, 2022 A large percentage of the world's population is affected by gastric diseases ranging from erosion and ulcer to serious ailments such as gastric cancer, which is mainly caused by Helicobacter pylori(H.pylori) infection.
Chenxi Zhang +6 more
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MIRACLE at ImageCLEFanot 2007: Machine Learning Experiments on Medical Image Annotation [PDF]
, 2007 This paper describes the participation of MIRACLE research consortium at the ImageCLEF Medical Image Annotation task of ImageCLEF 2007. Our areas of expertise do not include image analysis, thus we approach this task as a machine-learning problem ...
Julio Villena-Román +7 more
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Evaluating Knowledge Transfer in the Neural Network for Medical Images
IEEE Access, 2023 The performance of deep learning models, such as convolutional neural networks (CNN)s, is highly dependent on the size of the training dataset. Consequently, it can be challenging to achieve satisfactory performance when training models from scratch in ...
S. Akbarian +3 more
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MEDICAL IMAGE ENCRYPTION USING DNA ENCODING AND MODIFIED CIRCULAR SHIFT
Barekeng, 2022 This paper proposes a new encryption method for the encryption of medical images. The method is used to divide the image into several blocks and then scramble the image blocks using DNA chains and then shift the pixels in a circle with certain rules.
Kiswara Agung Santoso +2 more
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Combination of Transfer Learning Methods for Kidney Glomeruli Image Classification
Applied Sciences, 2022 The rising global incidence of chronic kidney disease necessitates the development of image categorization of renal glomeruli. COVID-19 has been shown to enter the glomerulus, a tissue structure in the kidney.
Hsi-Chieh Lee, Ahmad Fauzan Aqil
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Design and Development of Medical Image Processing Experiment System Based on IDL Language [PDF]
International Journal Bioautomation, 2019 This paper uses Interactive Data Language (IDL) as a development language to design and implement a lung tumor image processing system with a Client/Server (C/S) structure.
Wei Xie
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International Journal of Online and Biomedical Engineering (iJOE), 2023 Medical image security is possible using digital watermarking techniques. Important information is included in a host medical image in order to provide integrity, consistency, and authentication in the healthcare information system. This paper introduces a proposed method for embedding invisible watermarking in the 3D medical image.
Nashwan Alsalam Ali, Iman I. Hamid
openaire +1 more source
Image fusion for dynamic contrast enhanced magnetic resonance imaging
, 2004 Twellmann T, Saalbach A, Gerstung O, Leach MO, Nattkemper TW. Image fusion for dynamic contrast enhanced magnetic resonance imaging. Biomed Eng Online. 2004;3(1): 35.BACKGROUND: Multivariate imaging techniques such as dynamic contrast-enhanced magnetic ...
Nattkemper, Tim Wilhelm ; https://orcid.org/ +23 more
core +2 more sources
Medical imaging analysis with artificial neural networks
, 2010 Given that neural networks have been widely reported in the research community of medical imaging, we provide a focused literature survey on recent neural network developments in computer-aided diagnosis, medical image segmentation and edge detection ...
J. Ren +8 more
core +1 more source