ArticleBiomedical optics express2019
Smartphone-based multispectral imaging and machine-learning based analysis for discrimination between seborrheic dermatitis and psoriasis on the scalp.
Article in Biomedical optics express, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
17 citing papers in PubMed, 48 citations in OpenAlex.
- Dual-band spectral filter array integrated with a telecentric lens for real-time surface plasmon resonance sensing and imaging.Nanophotonics (Berlin, Germany) · 2025Article
- Psoriasis: A Multidimensional Review of Onset, Progression, Treatment, and the Evolution of Disease Models.Molecular diagnosis & therapy · 2025Review
- Seborrheic Dermatitis: Exploring the Complex Interplay withInternational journal of molecular sciences · 2025Review
- Integrating artificial intelligence with smartphone-based imaging for cancer detection in vivo.Biosensors & bioelectronics · 2025Review
- AI in Psoriatic Disease: Scoping Review.JMIR dermatology · 2024Article
- Artificial Intelligence: A Snapshot of Its Application in Chronic Inflammatory and Autoimmune Skin Diseases.Life (Basel, Switzerland) · 2024Review
- Parameter-based transfer learning for severity classification of atopic dermatitis using hyperspectral imaging.Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) · 2024Article
- Single-cell analysis and machine learning identify psoriasis-associated CD8Frontiers in genetics · 2024Article
- Spectral Filter Selection Based on Human Color Vision for Spectral Reflectance Recovery.Sensors (Basel, Switzerland) · 2023Article
- Compact and ultracompact spectral imagers: technology and applications in biomedical imaging.Journal of biomedical optics · 2023Review
- Skin chromophore mapping by smartphone RGB camera under spectral band and spectral line illumination.Journal of biomedical optics · 2022Article
- An improved spectral estimation method based on color perception features of mobile phone camera.Frontiers in neuroscience · 2022Article
- Intelligent smartphone-based multimode imaging otoscope for the mobile diagnosis of otitis media.Biomedical optics express · 2021Article
- Low-Cost Hyperspectral Imaging with A Smartphone.Journal of imaging · 2021Article
- Smartphone-based imaging systems for medical applications: a critical review.Journal of biomedical optics · 2021Review
- Machine learning-enabled multiplexed microfluidic sensors.Biomicrofluidics · 2020Review
- Machine Learning Applications in the Evaluation and Management of Psoriasis: A Systematic Review.Journal of psoriasis and psoriatic arthritis · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
For appropriate treatment, accurate discrimination between seborrheic dermatitis and psoriasis in a timely manner is crucial to avoid complications. However, when they occur on the scalp, differential diagnosis can be challenging using conventional dermascopes. Thus, we employed smartphone-based multispectral imaging and analysis to discriminate between them with high accuracy. A smartphone-based multispectral imaging system, suited for scalp disease diagnosis, was redesigned. We compared the outcomes obtained using machine learning-based and conventional spectral classification methods to achieve better discrimination. The results demonstrated that smartphone-based multispectral imaging and analysis has great potential for discriminating between these diseases.
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.