[BOOK][B] Microcomputed tomography: methodology and applications
SR Stock - 2019 - taylorfrancis.com
MicroComputed Tomography has become the gold standard for studying 3D microscopic
structures nondestructively, and this book provides up-to-date coverage of the modality. The …
structures nondestructively, and this book provides up-to-date coverage of the modality. The …
Early prediction of cerebral computed tomography under intelligent segmentation algorithm combined with serological indexes for hematoma enlargement after …
W Xu, W Tang, L Wu, Q Jiang, Q Tian… - … Methods in Medicine, 2022 - Wiley Online Library
The aim of this study was to explore the application value of brain computed tomography
(CT) images under intelligent segmentation algorithm and serological indexes in the early …
(CT) images under intelligent segmentation algorithm and serological indexes in the early …
Automation of bone tissue histology
VV Yaikova, OV Gerasimov, AO Fedyanin… - Frontiers in …, 2019 - frontiersin.org
In abstract methods of automation of histology, bone structure is considered. Possible inputs
are snapshots from a microscope or computed tomography slices. An algorithm is proposed …
are snapshots from a microscope or computed tomography slices. An algorithm is proposed …
Synchrotron-based techniques for elemental analysis in soil-plant system under polluted environment
M Kirichkov, M Burachevskaya… - Eurasian Journal of …, 2024 - dergipark.org.tr
Analytical techniques for elemental analysis in the soil-plant system have significance
importance, especially emerging techniques such as synchrotron radiation (SR). Improved …
importance, especially emerging techniques such as synchrotron radiation (SR). Improved …
Segmentation of Lung Tomographic Images Using U-Net Deep Neural Networks
ED Stefanato, VSPP de Oliveira… - … -American Journal of …, 2023 - lajc.epn.edu.ec
Deep Neural Networks (DNNs) are among the best methods of Artificial Intelligence,
especially in computer vision, where convolutional neural networks play an important role …
especially in computer vision, where convolutional neural networks play an important role …