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In this paper, we propose a novel hair damage detection network. Based on artificial intelligence algorithms, were used to analyze scanning electron microscope (SEM) hair surface image damage (Figure 1) to automatically identify and categorized the damage.
Learn more:In this paper, we propose a novel hair damage detection network. Based on artificial intelligence algorithms, were used to analyze scanning electron microscope (SEM) hair surface image damage (Figure 1) to automatically identify and categorized the damage.
www.mdpi.com/2076-3417/11/16/7333Therefore, our proposed method is to use scanning electron microscope to collect various hair sample images, combined with deep learning to identify and judge the degree of hair damage. This method will be used for hair quality diagnosis.
www.mdpi.com/2075-4418/11/10/1831hair damage data set based on SEM (scanning electron microscope) images. Through various phys‐ ical and chemical analyses, we observe the changes in the hair surface according to the degree of hair damage, found the relationship between them, used a convolutional neural network to recog‐
res.mdpi.com/d_attachment/applsci/applsci-11-073…Clinically, microscopic analysis using a scanning electron microscope (SEM) can assess hair damage by identifying the characteristic morphology of hair damage.
www.researchgate.net/publication/353798847_Effi…This project created a new hair damage data set based on SEM (scanning electron microscope) images, and categorized the degree of damage into weak damage, moderate damage and high damage, through various physical and chemical analyses.
www.semanticscholar.org/paper/Efficient-Hair-Dam…Efficient Hair Damage Detection Using SEM Images Based on
Aug 9, 2021 · In this paper, we propose a novel hair damage detection network. Based on artificial intelligence algorithms, were used to analyze scanning electron microscope (SEM) hair …
- Author: QiaoYue Man, LinTong Zhang, Young Im Cho
- Publish Year: 2021
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Exploration of Multi-Scale Reconstruction Framework in Dam Deformation …
Deep-Learning-Based Hair …
Therefore, our proposed method is to use scanning electron microscope to collect …
Article Efficient Hair Damag…
hair damage data set based on SEM (scanning electron microscope) images. …
Deep-Learning-Based Hair Damage Diagnosis Method Applying …
hair damage data set based on SEM (scanning electron microscope) images. Through various phys‐ ical and chemical analyses, we observe the changes in the hair surface according to the …
(PDF) Efficient Hair Damage Detection Using SEM …
Aug 9, 2021 · Clinically, microscopic analysis using a scanning electron microscope (SEM) can assess hair damage by identifying the characteristic morphology of hair damage.
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[PDF] Efficient Hair Damage Detection Using SEM Images Based …
This project created a new hair damage data set based on SEM (scanning electron microscope) images, and categorized the degree of damage into weak damage, moderate damage and …
A novel method for non-destructive determination of …
Mar 31, 2017 · In this work, we report a novel method for non-destructive quantification of hair photodamage via multispectral imaging (MSI) technology. We show that the multispectral reflectance value in...
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Efficient Hair Damage Detection Using SEM Images Based on
Aug 9, 2021 · In this manuscript, titled “Efficient hair damage detection using SEM images based on convolutional neural network”, Man et al. created a data base containing SEM images of …
(PDF) Deep-Learning-Based Hair Damage Diagnosis …
Oct 3, 2021 · Therefore, our proposed method is to use scanning electron microscope to collect various hair sample images, combined with deep learning to identify and judge the degree of hair damage. This...
Performance and Mechanism of Hydrolyzed Keratin for Hair
1 day ago · Photoaging is common and represents one of the primary pathways for hair damage in daily life. Hydrolyzed keratin, which is usually derived from wool and consists of a series of …
Efficient Hair Damage Detection Using SEM Images …
We deal with complex and difficult-to-detect hair damage feature regions by stacking multiple residuals and a residual attention block formed by combining attention blocks, thereby establishing an efficient network framework for hair …
Deep-Learning-Based Hair Damage Diagnosis Method Applying …
Therefore, our proposed method is to use scanning electron microscope to collect various hair sample images, combined with deep learning to identify and judge the degree of hair damage. …
Mapping the Chemistry of Hair Strands by Mass Spectrometry …
While early efforts focused on analyzing complete hair strands in bulk, high spatial resolution mass spectrometry imaging (MSI) has recently come to the forefront of chemical hair-strand …
Efficient Hair Damage Detection Using SEM Images Based on
Sep 17, 2021 · We created a new hair microscopy data set based on SEM (Scanning Electron Microscope) image data and performed a quantitative analysis to classify the degree of hair …
2. We propose a novel and effective convolutional network model for hair damage detection: SACN-Net (Spatial attention convolutional neural networks). 3. We designed and introduced a …
Spectroscopy as a tool to evaluate hair damage and protection
Nov 15, 2018 · Hair fluorescence was observed when using both fluorimetry and microscopic procedures. The method was developed by comparing native hair with hair that was damaged …
Hair Follicle Classification and Hair Loss Severity Estimation ... - MDPI
Oct 14, 2022 · The proposed hair follicle classification and hair loss severity estimation using Mask R-CNN demonstrated a more efficient and accurate algorithm compared to other …
Efficient Hair Damage Detection Using SEM Images Based
Sep 1, 2021 · In this study, we tested several popular object detection models and adopted a Faster R-CNN with the Inception ResNet_v2_Atrous model in the ScalpEye system for image …
A novel method for non-destructive determination of hair photo …
Extended exposure to sunlight may give rise to chemical and physical damages of human hairs. In this work, we report a novel method for non-destructive quantification of hair photodamage …
Development and Experimental Evaluation of Machine-Learning …
Deep learning, decision tree, linear discriminant analysis (LDA), support vector machines (SVMs), k-nearest neighbors algorithm (K-NN), and ensemble learning are evaluated for detecting …
Efficient Hair Damage Detection Using SEM Images Based on
With increasing interest in hairstyles and hair color, bleaching, dyeing, straightening, and curling hair is being widely used worldwide, and the chemical and physical treatment of hair is also …
Deep-Learning-Based Hair Damage Diagnosis Method Applying …
Oct 3, 2021 · Therefore, our proposed method is to use scanning electron microscope to collect various hair sample images, combined with deep learning to identify and judge the degree of …
GC-MS Analysis with In Situ Derivatization for Managing Toxic ... - MDPI
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Feb 26, 2025 · Laminated composites display exceptional weight-saving abilities that make them suited to advanced applications in aerospace, automobile, civil, and marine industries. …
Enhancing Bolt Object Detection via AIGC-Driven Data ... - MDPI
2 days ago · In engineering structures, bolts serve as critical components for connection and fixation. Damage to these components can pose significant safety risks [5,6,7,8].Traditional …
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