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Lung histopathology is currently based on the analysis of 2D sections of tissue samples. The use of microfocus X-ray-computed tomography imaging of unstained soft tissue can provide high-resolution 3D image datasets in the range of 2–10 μm without affecting the current diagnostic workflow. Important details of structural features such as the tubular networks of airways and blood vessels are contained...
The paper presents an image processing method for the quantitative assessment of ROS accumulation areas in leaves stained with DAB or NBT for H2O2 and O2− detection, respectively. Three types of images determined by the combination of staining method and background color are considered. The method is based on the principle of supervised machine learning with manually labeled image patterns used for...
Accurate segmentation of cells in densely packed and non-homogeneous tissues remains a major open challenge in microscopy image analysis. Here we propose a semi-automatic segmentation method that integrates image features from differential geometry and local region growing to segment convex structures (cell bodies) in multi-channel anisotropic 3D stacks of confocal images. The segmentation is refined...
The article deals with initial research into the methods of microscopic image processing methods for the study of diverticular disease. Functional and structural changes were found in tissues of persons afflicted with diverticular disease in previous medical research. The acquired images were processed manually. The goal of research into image processing methods for automatic or semiautomatic processing...
Medical imaging is becoming a key technique to visualize the internal structure of the body. Magnetic resonance imaging (MRI) is currently used to take different spatial images of organs, such as the heart. The output of such an analysis is a set of images representing different views of the body or of an organ. There exist many algorithms to pre-process and analyze medical images such as the well...
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