Research graph
References from Artificial Intelligence Techniques for Diagnosing and Quantifying Vitiligo: A Systematic Review and Meta-Analysis. Local targets link to admitted publications; unresolved targets remain external evidence.
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10.1109/icaaic53929.2022.9792650
10.1109/icaaic53929.2022.9792650 · External reference
10.1109/icees51510.2021.9383682
10.1109/icees51510.2021.9383682 · External reference
Sensitivity analysis for interpretation of machine learning based segmentation models in cardiac MRI
10.1186/s12880-021-00551-1 · 2021 · External reference
10.1109/autocom60220.2024.10486133
10.1109/autocom60220.2024.10486133 · External reference
10.1109/ctceec.2017.8455029
10.1109/ctceec.2017.8455029 · External reference
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Skin disease classification using neural network
10.2174/1573405615666190422152926 · 2020 · External reference
Skin diseases detection using LBP and WLD: An ensembling approach
10.1007/s42979-023-02395-8 · 2023 · External reference
Vitiligo: A review
10.1159/000506103 · 2020 · External reference
10.1109/iccubea54992.2022.10010801
10.1109/iccubea54992.2022.10010801 · External reference
Appearance of aging signs in differently pigmented facial skin by a novel imaging system
10.1111/jocd.12806 · 2019 · External reference
Prediction of clinical response to excimer laser treatment in vitiligo by using neural network models
10.1159/000225934 · 2009 · External reference
Objective assessment of skin repigmentation using a multilayer perceptron
10.4103/jmss.jmss_52_18 · 2019 · External reference
Checklist for evaluation of image-based artificial intelligence reports in dermatology: clear derm consensus guidelines from the International Skin Imaging Collaboration Artificial Intelligence Working Group
10.1001/jamadermatol.2021.4915 · 2022 · External reference
10.1109/cvpr.2015.7298886
10.1109/cvpr.2015.7298886 · External reference
10.1109/icacc.2013.48
10.1109/icacc.2013.48 · External reference
Use of artificial intelligence in dermatology
10.4103/ijd.ijd_418_20 · 2020 · External reference
Skin lesion classification and detection using machine learning techniques: a systematic review
2023 · External reference
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Artificial intelligence techniques for diagnosing and quantifying vitiligo
2024 · External reference
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Deep learning-based segmentation of lesions from wide-field vitiligo images
10.1142/s0218001424570076 · 2024 · External reference
Diversity in machine learning: a systematic review of text-based diagnostic applications
10.1055/s-0042-1749119 · 2022 · External reference
Prevalence of vitiligo among adults in the United States
10.1001/jamadermatol.2021.4724 · 2022 · External reference
10.1007/978-981-97-0065-3_14
10.1007/978-981-97-0065-3_14 · External reference
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Challenges of artificial intelligence in medicine and dermatology
10.1016/j.clindermatol.2023.12.013 · 2024 · External reference
A deep learning-based hybrid artificial intelligence model for the detection and severity assessment of vitiligo lesions
10.21037/atm-22-1738 · 2022 · External reference
10.1109/icacci.2018.8554897
10.1109/icacci.2018.8554897 · External reference
Parametric modeling of narrowband UV-B phototherapy for vitiligo using a novel quantitative tool: the vitiligo area scoring index
10.1001/archderm.140.6.677 · 2004 · External reference
Evaluation of facial vitiligo severity with a mixed clinical and artificial intelligence approach
10.1016/j.jid.2023.07.014 · 2024 · External reference
Artificial Intelligence and Healthcare: A Journey through History, Present Innovations, and Future Possibilities
2024 · External reference
Extensions of the external validation for checking learned model interpretability and generalizability
10.1016/j.patter.2020.100129 · 2020 · External reference
Vitil-IA®: Revolutionizing facial vitiligo scoring with AI algorithm
2025 · External reference
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Development and assessment of an artificial intelligence-based tool for skin condition diagnosis by primary care physicians and nurse practitioners in teledermatology practices
10.1001/jamanetworkopen.2021.7249 · 2021 · External reference
Dermx: an end-to-end framework for explainable automated dermatological diagnosis
10.1016/j.media.2022.102647 · 2023 · External reference
10.1007/978-3-031-38747-0_10
10.1007/978-3-031-38747-0_10 · External reference
Implication of convolutional neural network in the classification of vitiligo
2020 · External reference
A comprehensive review of object detection with deep learning
2022 · External reference
Disease severity indexes and treatment evaluation criteria in vitiligo
10.1155/2011/750342 · 2011 · External reference
Proposing a novel unsupervised stack ensemble of deep and conventional image segmentation (SEDCIS) method for localizing vitiligo lesions in skin images
10.1111/srt.12920 · 2021 · External reference
Vitiligo area scoring index and vitiligo european task force assessment: reliable and responsive instruments to measure the degree of depigmentation in vitiligo
10.1111/bjd.13432 · 2015 · External reference
10.1017/cbo9781139176224.006
10.1017/cbo9781139176224.006 · External reference
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A comprehensive survey on design and application of autoencoder in deep learning
10.1016/j.asoc.2023.110176 · 2023 · External reference
Segmenting vitiligo on clinical face images using CNN trained on synthetic and internet images
10.1109/jbhi.2021.3055213 · 2021 · External reference
Bridging the gap between vitiligo segmentation and clinical scores
10.1109/jbhi.2023.3342069 · 2024 · External reference
Scalable skin lesion multi-classification recognition system
10.32604/cmc.2020.07039 · 2020 · External reference
10.1007/978-3-030-24265-7_19
10.1007/978-3-030-24265-7_19 · External reference
A deep learning system for differential diagnosis of skin diseases
10.1038/s41591-020-0842-3 · 2020 · External reference
Artificial intelligence for the classification of pigmented skin lesions in populations with skin of color: a systematic review
10.1159/000530225 · 2023 · External reference
10.1109/isbi45749.2020.9098682
10.1109/isbi45749.2020.9098682 · External reference
An effective vitiligo intelligent classification system
10.1007/s12652-020-02357-5 · 2020 · External reference
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10.1007/978-3-031-16431-6_68
10.1007/978-3-031-16431-6_68 · External reference
Feature based characterization of vitiligo skin images using machine learning
2022 · External reference
Dermcdsm: Clinical decision support model for dermatosis using systematic approaches of machine learning and deep learning
2024 · External reference
10.1109/cbms49503.2020.00104
10.1109/cbms49503.2020.00104 · External reference
Deep learning-based common skin disease image classification
2023 · External reference
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10.1145/3328833.3328862
10.1145/3328833.3328862 · External reference
Computerised image analysis of vitiligo lesion: Evaluation using manually defined lesion areas
10.1111/j.1600-0846.2011.00610.x · 2013 · External reference
10.1109/isctech60480.2023.00092
10.1109/isctech60480.2023.00092 · External reference
The PRISMA 2020 statement: an updated guideline for reporting systematic reviews
2021 · External reference
A machine learning-based, decision support, mobile phone application for diagnosis of common dermatological diseases
10.1111/jdv.16967 · 2021 · External reference
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10.1109/iccsp60870.2024.10543467
10.1109/iccsp60870.2024.10543467 · External reference
10.1109/icaiccit60255.2023.10465712
10.1109/icaiccit60255.2023.10465712 · External reference
10.1063/5.0109172
10.1063/5.0109172 · External reference
10.1007/978-3-030-32022-5_36
10.1007/978-3-030-32022-5_36 · External reference
Some studies in machine learning using the game of checkers
10.1147/rd.33.0210 · 1959 · External reference
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Objective assessment of vitiligo with a computerised digital imaging analysis system
10.1111/ajd.12247 · 2015 · External reference
Deep learning based model for detection of vitiligo skin disease using pre-trained Inception v3
2023 · External reference
10.1016/b978-0-12-823817-2.00013-9
10.1016/b978-0-12-823817-2.00013-9 · External reference
An automatic dermatology detection system based on deep learning and computer vision
10.1109/access.2023.3340735 · 2023 · External reference
Metrics for evaluating 3d medical image segmentation: analysis, selection, and tool
10.1186/s12880-015-0068-x · 2015 · External reference
Automated scoring of vitiligo using superpixel-generated computerized digital image analysis of clinical photographs: A novel and consistent way to score vitiligo
10.1111/bjd.16563 · 2018 · External reference
10.1016/b978-0-12-824054-0.00007-1
10.1016/b978-0-12-824054-0.00007-1 · External reference
Classification of skin disease using transfer learning in convolutional neural networks
10.46338/ijetae0423_01 · 2023 · External reference
Poisson-based image editing for semi-supervised vitiligo lesion segmentation with limited annotations
10.1016/j.compbiomed.2023.107320 · 2023 · External reference
Computer-aided assessment of repigmentation rates in vitiligo patients: implications for treatment efficacy - a retrospective study
2024 · External reference
A systematic survey of computer-aided diagnosis in medicine: Past and present developments
2019 · External reference
10.1109/icece.2014.7026918
10.1109/icece.2014.7026918 · External reference
Design and assessment of convolutional neural network based methods for vitiligo diagnosis
2021 · External reference
Optimizing vitiligo diagnosis with ResNet and Swin transformer deep learning models: a study on performance and interpretability
10.1038/s41598-024-59436-2 · 2024 · External reference
