ReviewSensors (Basel, Switzerland)2021
Optical Technologies for the Improvement of Skin Cancer Diagnosis: A Review.
Review in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
38 citing papers in PubMed, 1 synthesis or guideline pooled it, 110 citations in OpenAlex.
- Clinical profile, histopathology, and management of caruncular lesions; a systematic review.Eye (London, England) · 2025Pooled it
- Biophotonics in veterinary medicine: current clinical applications, translational challenges, and emerging opportunities.Frontiers in veterinary science · 2026Article
- Serum amyloid P component suppresses melanoma growth and metastasis by inhibiting CCL1 secretion from macrophages.American journal of cancer research · 2026Article
- Theoretical Investigation of Early Cancer Biomarker Sensing Using a PMMA-Gold Hybrid Quasi-D-Shaped Photonic-Crystal-Fiber-Based Surface Plasmon Resonance Biosensor.Micromachines · 2025Article
- A Comprehensive Review of Optical Metrology and Perception Technologies.Sensors (Basel, Switzerland) · 2025Review
- Time-step encoded high-frequency enhanced diffusion model for OCT retinal image denoising.Biomedical optics express · 2025Article
- Probing the Influence of Specular Reflection and Overexposure on Backscattering Mueller Matrix Polarimetry for Tissue Imaging and Sensing.Biosensors · 2025Article
- Review of Non-Invasive Imaging Technologies for Cutaneous Melanoma.Biosensors · 2025Review
- Emerging Technologies for Timely Point-of-Care Diagnostics of Skin Cancer.Global challenges (Hoboken, NJ) · 2025Review
- Investigation of Binary and Multiclass Classification Performance of Skin Cancer Images Using Transfer Learning Methods.Journal of clinical practice and research · 2025Article
- An intelligent framework for skin cancer detection and classification using fusion of Squeeze-Excitation-DenseNet with Metaheuristic-driven ensemble deep learning models.Scientific reports · 2025Article
- Machine learning-based classification of spatially resolved diffuse reflectance and autofluorescence spectra acquired on human skin for actinic keratoses and skin carcinoma diagnostics aid.Journal of biomedical optics · 2025Article
- Training State-of-the-Art Deep Learning Algorithms with Visible and Extended Near-Infrared Multispectral Images of Skin Lesions for the Improvement of Skin Cancer Diagnosis.Diagnostics (Basel, Switzerland) · 2025Article
- Electrochemical and Optical Carbon Dots and Glassy Carbon Biosensors: A Review on Their Development and Applications in Early Cancer Detection.Micromachines · 2025Review
- Advancements in Cancer Care by Exploring Multimodality Imaging Techniques and their Applications.Current medical imaging · 2025Review
- Near-infrared spectroscopy-enabled electromechanical systems for fast mapping of biomechanics and subcutaneous diagnosis.Science advances · 2024Article
- Advancements in Hyperspectral Imaging and Computer-Aided Diagnostic Methods for the Enhanced Detection and Diagnosis of Head and Neck Cancer.Biomedicines · 2024Review
- Non-invasive estimation of the powder size distribution from a single speckle image.Light, science & applications · 2024Article
- Classification of melanocytic lesions using direct illumination multispectral imaging.Scientific reports · 2024Article
- Pixel-level classification of pigmented skin cancer lesions using multispectral autofluorescence lifetime dermoscopy imaging.Biomedical optics express · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
The worldwide incidence of skin cancer has risen rapidly in the last decades, becoming one in three cancers nowadays. Currently, a person has a 4% chance of developing melanoma, the most aggressive form of skin cancer, which causes the greatest number of deaths. In the context of increasing incidence and mortality, skin cancer bears a heavy health and economic burden. Nevertheless, the 5-year survival rate for people with skin cancer significantly improves if the disease is detected and treated early. Accordingly, large research efforts have been devoted to achieve early detection and better understanding of the disease, with the aim of reversing the progressive trend of rising incidence and mortality, especially regarding melanoma. This paper reviews a variety of the optical modalities that have been used in the last years in order to improve non-invasive diagnosis of skin cancer, including confocal microscopy, multispectral imaging, three-dimensional topography, optical coherence tomography, polarimetry, self-mixing interferometry, and machine learning algorithms. The basics of each of these technologies together with the most relevant achievements obtained are described, as well as some of the obstacles still to be resolved and milestones to be met.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.