Results 21 to 30 of about 362,032 (300)
Edge-computing-assisted intelligent processing of AI-generated image content
Journal of Real-Time Image Processing, 2023 Abstract Artificial intelligence-generated image content (AIGIC) is produced through the extraction of features and patterns from a vast image dataset, requiring substantial computational resources for training. This study aims to enhance image processing and response time on terminal devices by utilizing edge computing technology to offload ...
Suzhen Wang +3 more
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Liver Segmentation in MRI Images using an Adaptive Water Flow Model [PDF]
Journal of Biomedical Physics and Engineering, 2021 Background: Identification and precise localization of the liver surface and its segments are essential for any surgical treatment. An algorithm of accurate liver segmentation simplifies the treatment planning for different types of liver diseases ...
Marjan Heidari +3 more
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Application and Challenges of Intelligent Image Processing in Traditional Chinese Medicine
Taiyuan Ligong Daxue xuebao, 2022 In recent years, with the continuous development of artificial intelligence and machine vision technology, computer-assisted technology has increasingly affected the medical field, providing important support means for the development and promotion of ...
Zijuan ZHAO +5 more
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Ideal Nasal Preferences: A Quantitative Investigation with 3D Imaging in the Iranian Population
Archives of Plastic Surgery, 2023 Background Though in facial plastic surgery, the ideal nasal characteristics are defined by average European-American facial features known as neoclassical cannons, many ethnicities do not perceive these characteristics as suitable.
Kiarash Tavakoli +3 more
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Diagnostic and Interventional Radiology, 2020 PURPOSEWe aimed to evaluate the influence of irreversible image compression at varying levels on image post-processing algorithms (3D volume rendering of angiographs, computer-assisted detection of lung nodules, segmentation and volumetry of liver ...
Daniel Pinto dos Santos +5 more
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Effect of Different Parameter Values for Pre-processing of Using Mammography Images
Journal of Advanced Research in Natural and Applied Sciences, 2023 Breast cancer is one of the most common types of cancer in women. To make a fast diagnosis, mammography images should have high contrast. Computer-assisted diagnosis (CAD) models are computer systems that help diagnose lesioned areas on medical images ...
Hanife Avcı, Jale Karakaya
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Wide area digital dermoscopy applied to basal cell carcinoma, [PDF]
Anais Brasileiros de Dermatologia, 2020 In situations in when a dermoscopic record of a large lesion is desirable, the resulting images are usually restricted to a small field of view due to the limited diameter of dermatoscope lenses.
Gerson Dellatorre +1 more
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Sensors, 2021 The study of the foot is relevant in kinematic analyses of gait. Images captured through a lens can be subjected to various aberrations or distortions that affect the measurements.
Isidoro Espinosa-Moyano +5 more
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DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation [PDF]
, 2015 Automatic organ segmentation is an important yet challenging problem for medical image analysis. The pancreas is an abdominal organ with very high anatomical variability.
Farag, Amal +6 more
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Nature Communications, 2019 In the original version of this Article the values in the rightmost column of Table 1 were inadvertently shifted relative to the other columns. This has now been corrected in the PDF and HTML versions of the Article.
Lena Maier-Hein +37 more
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