AIMC Topic: Wound Healing
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Automated Quantitative Analysis of Wound Histology Using Deep-Learning Neural Networks.
The Journal of investigative dermatology
Oct 26, 2020
Lignin-Incorporated Nanogel Serving As an Antioxidant Biomaterial for Wound Healing.
ACS applied bio materials
Oct 1, 2020
Oxidative phosphorylation is an important biological process in the body to produce energy, during which oxygen free radicals are generated as byproduct. Excessive oxygen free radicals cause cell death and reduce the rate of tissue regeneration and h...
Development and Validation of a Deep Neural Network for Accurate Evaluation of Endoscopic Images From Patients With Ulcerative Colitis.
Gastroenterology
Feb 12, 2020
BACKGROUND & AIMS: There are intra- and interobserver variations in endoscopic assessment of ulcerative colitis (UC) and biopsies are often collected for histologic evaluation. We sought to develop a deep neural network system for consistent, objecti...
Deep Learning
Adolescent
Treatment Outcome
Wound Healing
Colitis, Ulcerative
Prospective Studies
Colon
Female
Colonoscopy
Reproducibility of Results
Severity of Illness Index
Predictive Value of Tests
Aged
Diagnosis, Computer-Assisted
Biopsy
Adult
Aged, 80 and over
Remission Induction
Male
Image Interpretation, Computer-Assisted
Young Adult
Middle Aged
Humans
Databases, Factual
Electronic Skin: Recent Progress and Future Prospects for Skin-Attachable Devices for Health Monitoring, Robotics, and Prosthetics.
Advanced materials (Deerfield Beach, Fla.)
Sep 19, 2019
Recent progress in electronic skin or e-skin research is broadly reviewed, focusing on technologies needed in three main applications: skin-attachable electronics, robotics, and prosthetics. First, since e-skin will be exposed to prolonged stresses o...
Minimally invasive donor nephrectomy: current state of the art.
Langenbeck's archives of surgery
Aug 21, 2018
BACKGROUND: The concept of a minimally invasive live donor nephrectomy developed over 20 years ago. Surgeons gained expertise with the laparoscopic technique and utilized multiple variations that are now utilized in transplant centers throughout the ...
A Composite Model of Wound Segmentation Based on Traditional Methods and Deep Neural Networks.
Computational intelligence and neuroscience
May 31, 2018
Wound segmentation plays an important supporting role in the wound observation and wound healing. Current methods of image segmentation include those based on traditional process of image and those based on deep neural networks. The traditional metho...
Tissue classification and segmentation of pressure injuries using convolutional neural networks.
Computer methods and programs in biomedicine
Mar 3, 2018
BACKGROUND AND OBJECTIVES: This paper presents a new approach for automatic tissue classification in pressure injuries. These wounds are localized skin damages which need frequent diagnosis and treatment. Therefore, a reliable and accurate systems fo...
Chemical characterization and wound healing property of a β-D-glucan from edible mushroom Piptoporus betulinus.
International journal of biological macromolecules
Dec 20, 2017
A water-soluble β-D-glucan was obtained from fruiting bodies of Piptoporus betulinus, by hot aqueous extraction followed by freeze-thawing procedure and dialysis. Its molar mass distribution and conformational behavior in solution was assessed by siz...
Robustness in living organisms is homeostasis.
Seminars in immunology
Dec 16, 2017
In order to survive and reproduce, living organisms must be robust, tolerate injuries and undergo repair. Robustness in living organisms compares to robustness in human inventions, such as buildings and machines, which have to withstand occasional da...
Learning of speckle statistics for in vivo and noninvasive characterization of cutaneous wound regions using laser speckle contrast imaging.
Microvascular research
Apr 27, 2016
Laser speckle contrast imaging (LSCI) provides a noninvasive and cost effective solution for in vivo monitoring of blood flow. So far, most of the researches consider changes in speckle pattern (i.e. correlation time of speckle intensity fluctuation)...
Immunohistochemistry
Blood Flow Velocity
Laser-Doppler Flowmetry
Microcirculation
Perfusion Imaging
Sarcoma 180
Skin
Supervised Machine Learning
Regional Blood Flow
Image Interpretation, Computer-Assisted
Male
Disease Models, Animal
Reproducibility of Results
Time Factors
Predictive Value of Tests
Animals
Area Under Curve
ROC Curve
Data Interpretation, Statistical
Mice
Wound Healing
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