AIMC Topic: Skin
Clear Filters Showing 181 to 190 of 382 articles
Deep Learning-Based Transfer Learning for Classification of Skin Cancer.
Sensors (Basel, Switzerland)
Dec 6, 2021
One of the major health concerns for human society is skin cancer. When the pigments producing skin color turn carcinogenic, this disease gets contracted. A skin cancer diagnosis is a challenging process for dermatologists as many skin cancer pigment...
User-Interactive Robot Skin With Large-Area Scalability for Safer and Natural Human-Robot Collaboration in Future Telehealthcare.
IEEE journal of biomedical and health informatics
Dec 6, 2021
With the fourth revolution of healthcare, i.e., Healthcare 4.0, collaborative robotics is spilling out from traditional manufacturing and will blend into human living or working environments to deliver care services, especially telehealthcare. Becaus...
Artificial intelligence for grading in acne vulgaris: current situation and prospect.
Journal of cosmetic dermatology
Dec 2, 2021
An objective skin-type classification based on non-invasive biophysical parameters.
Journal of the European Academy of Dermatology and Venereology : JEADV
Nov 20, 2021
BACKGROUND: Despite the invention of various non-invasive bioengineering tools, skin-type analysis has largely been based on subjective assessments. However, advancements in the functional cosmetic industry and artificial intelligence-assisted dermat...
Metagenomic Sequencing Analysis for Acne Using Machine Learning Methods Adapted to Single or Multiple Data.
Computational and mathematical methods in medicine
Nov 13, 2021
The human health status can be assessed by the means of research and analysis of the human microbiome. Acne is a common skin disease whose morbidity increases year by year. The lipids which influence acne to a large extent are studied by metagenomic ...
A deep learning model for burn depth classification using ultrasound imaging.
Journal of the mechanical behavior of biomedical materials
Oct 29, 2021
Identification of burn depth with sufficient accuracy is a challenging problem. This paper presents a deep convolutional neural network to classify burn depth based on altered tissue morphology of burned skin manifested as texture patterns in the ult...
Line-field confocal optical coherence tomography as a tool for three-dimensional in vivo quantification of healthy epidermis: A pilot study.
Journal of biophotonics
Oct 21, 2021
Epidermal three-dimensional (3D) topography/quantification has not been completely characterized yet. The recently developed line-field confocal optical coherence tomography (LC-OCT) provides real-time, high-resolution, in-vivo 3D imaging of the skin...
Mechanical Imaging of Soft Tissues With Miniature Climbing Robots.
IEEE transactions on bio-medical engineering
Sep 20, 2021
Systematically mapping the mechanical properties of skin and tissue is useful for biomechanics research and disease diagnostics. For example, later stage breast cancer and lymphoma manifest themselves as hard nodes under the skin. Currently, mechanic...
Automated detection of superficial fungal infections from microscopic images through a regional convolutional neural network.
PloS one
Aug 17, 2021
Direct microscopic examination with potassium hydroxide is generally used as a screening method for diagnosing superficial fungal infections. Although this type of examination is faster than other diagnostic methods, it can still be time-consuming to...
Cutaneous Ionogel Mechanoreceptors for Soft Machines, Physiological Sensing, and Amputee Prostheses.
Advanced materials (Deerfield Beach, Fla.)
Aug 1, 2021
Touch sensing has a central role in robotic grasping and emerging human-machine interfaces for robot-assisted prosthetics. Although advancements in soft conductive polymers have promoted the creation of diverse pressure sensors, these sensors are dif...
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