Automatic Facial Spots and Acnes Detection System

Journal of Cosmetics, Dermatological Sciences and Applications

ISSN Print: 2161-4105
ISSN Online: 2161-4512
www.scirp.net/journal/jcdsa
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"Automatic Facial Spots and Acnes Detection System"
written by Chuan-Yu Chang, Heng-Yi Liao,
published by Journal of Cosmetics, Dermatological Sciences and Applications, Vol.3 No.1A, 2013

has been cited by the following article(s):

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[1]	Segmentation of Acne Vulgaris Images Techniques: A Comparative and Technical Study
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[2]	Acne Vulgaris Severity Analysis Application
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[3]	Prototype for automatically detecting acne in face images using digital image processing techniques
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[5]	Acne Classification with Gaussian Mixture Model based on Texture Features
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[6]	Identification of facial skin diseases from face phenotypes using FSDNet in uncontrolled environment
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[7]	Acne detection and severity evaluation with interpretable convolutional neural network models
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[8]	Automated detection, 3D position of facial skin lesions using genetic algorithm and Kinect camera
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[9]	Artificial Intelligence in Dermatology: A Case Study for Facial Skin Diseases
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[10]	Klasifikasi Jenis Jerawat Menggunakan Convolutional Neural Networks
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[11]	ScarNet: development and validation of a novel deep CNN model for acne scar classification with a new dataset
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[12]	Image-processing based facial imperfection region detection and segmentation
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[13]	Biometrics for face skin analysis using machine learning based approaches
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[14]	Segmentation methods for acne vulgaris images: Proposal of a new methodology applied to fluorescence images
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[15]	Analysis of segmentation methods for acne vulgaris images. Proposal of a new methodology applied to fluorescence images
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[16]	Automatic Classifier for Skin Disease Using k-NN and SVM
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[17]	Exploring a Facial Defect Skin Detection Algorithm with Probability Distribution Model
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[18]	Facial Spot Contour Extraction based on Color Image Processing
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[19]	Comparison of two skin imaging analysis instruments: The VISIA® from Canfield vs the ANTERA 3D®CS from Miravex
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[20]	AUTOMATIC ACNE DETECTION AND QUANTIFICATION FOR MEDICAL TREATMENT THROUGH IMAGE PROCESSING
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[21]	Comparison of two skin imaging analysis instruments: The VISIA® from Canfield vs the ANTERA 3D® CS from Miravex
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[22]	Automatic Facial Flaw Detection and Retouching via Discriminative Structure Tensor
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[23]	Сравнение двух устройств визуализации и анализа кожи: VISIA® от Canfield и ANTERA 3D® CS от Miravex
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[24]	Klasifikasi Jenis-Jenis Jerawat Menggunakan Multilayer Perceptron
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[25]	Automatic acne detection system for medical treatment progress report
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[26]	Dermatological tracking of chronic acne treatment effectiveness
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[27]	DETEKSI JERAWAT OTOMATIS PADA CITRA WAJAH STUDI KASUS PADA KULIT PENDUDUK JAWA
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[28]	Face age estimation using wrinkle patterns
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[29]	Extraction of Visual Facial Features for Health Management
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[4]	Prototype for automatically detecting acne in face images using digital image processing techniques VII INTERNATIONAL CONFERENCE “SAFETY PROBLEMS OF CIVIL ENGINEERING CRITICAL INFRASTRUCTURES” (SPCECI2021), 2023 DOI:10.1063/5.0117743

[5]	ScarNet: Development and Validation of a Novel Deep CNN Model for Acne Scar Classification With a New Dataset IEEE Access, 2022 DOI:10.1109/ACCESS.2021.3138021

[6]	Identification of facial skin diseases from face phenotypes using FSDNet in uncontrolled environment Machine Vision and Applications, 2022 DOI:10.1007/s00138-021-01259-6

[7]	Acne detection and severity evaluation with interpretable convolutional neural network models Technology and Health Care, 2022 DOI:10.3233/THC-228014

[8]	Automated detection, 3D position of facial skin lesions using genetic algorithm and Kinect camera Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 2022 DOI:10.1080/21681163.2021.1972342

[9]	Advances in Artificial Intelligence, Computation, and Data Science Computational Biology, 2021 DOI:10.1007/978-3-030-69951-2_7

[10]	Image-processing based facial imperfection region detection and segmentation Multimedia Tools and Applications, 2021 DOI:10.1007/s11042-020-10208-w

[11]	Automatic Classifier for Skin Disease Using k-NN and SVM Proceedings of the 2019 8th International Conference on Software and Information Engineering - ICSIE '19, 2019 DOI:10.1145/3328833.3328862

[12]	Facial Spot Contour Extraction based on Color Image Processing Proceedings of the 2019 4th International Conference on Biomedical Signal and Image Processing (ICBIP 2019) - ICBIP '19, 2019 DOI:10.1145/3354031.3354043

[13]	Automatic acne detection system for medical treatment progress report 2016 7th International Conference of Information and Communication Technology for Embedded Systems (IC-ICTES), 2016 DOI:10.1109/ICTEmSys.2016.7467119

[14]	Extraction of Visual Facial Features for Health Management IEEE Systems Journal, 2016 DOI:10.1109/JSYST.2014.2325957

[15]	Dermatological tracking of chronic acne treatment effectiveness 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016 DOI:10.1109/EMBC.2016.7591953

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