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Application and Challenges of Intelligent Image Processing in Traditional Chinese Medicine
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
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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Effect of Different Parameter Values for Pre-processing of Using Mammography Images
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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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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Wide area digital dermoscopy applied to basal cell carcinoma, [PDF]
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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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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Deep Learning Based Image Processing for Robot Assisted Surgery: A Systematic Literature Survey
The recent advancements in the surging field of Deep Learning (DL) have revolutionized every sphere of life, and the healthcare domain is no exception. The enormous success of DL models, particularly with image data, has led to the development of image ...
Sardar Mehboob Hussain+5 more
semanticscholar +1 more source
DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation [PDF]
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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Glaucoma Detection Using Image Processing and Supervised Learning for Classification
A difficult challenge in the realm of biomedical engineering is the detection of physiological changes occurring inside the human body, which is a difficult undertaking.
Shubham Joshi+5 more
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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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