SynthesisJournal of biomedical optics2022
Hyperspectral and multispectral image processing for gross-level tumor detection in skin lesions: a systematic review.
Synthesis in Journal of biomedical optics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
What it found
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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
20 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Medical hyperspectral imaging: an updated review of technology advancements and biomedical applications.Journal of biomedical optics · 2026Pooled it
- Skin malformation assessment by triple wavelength imaging.Frontiers in medicine · 2026Article
- Digital Dermatopathology of Scabies: HE-Compatible VIS-NIR Hyperspectral Imaging as a Label-Free Proof-of-Concept Approach.Bioengineering (Basel, Switzerland) · 2025Article
- Exploring the role of preprocessing combinations in hyperspectral imaging for deep learning colorectal cancer detection.Scientific reports · 2025Article
- Skin Lesion Classification in Head and Neck Cancers Using Tissue Index Images Derived from Hyperspectral Imaging.Cancers · 2025Article
- Review of Non-Invasive Imaging Technologies for Cutaneous Melanoma.Biosensors · 2025Review
- Integrating artificial intelligence with smartphone-based imaging for cancer detection in vivo.Biosensors & bioelectronics · 2025Review
- Noninvasive Bedside Approaches for Assessing Microvascular Dysfunction.Journal of vascular research · 2025Review
- Article
- Classification of melanocytic lesions using direct illumination multispectral imaging.Scientific reports · 2024Article
- Validation of multispectral imaging-based tissue oxygen saturation detecting system for wound healing recognition on open wounds.Journal of biomedical optics · 2024Article
- Hyperspectral Imaging Detects Clitoral Vascular Issues in Gender-Affirming Surgery.Diagnostics (Basel, Switzerland) · 2024Article
- Facilitating clinically relevant skin tumor diagnostics with spectroscopy-driven machine learning.iScience · 2024Article
- Mapping cutaneous field carcinogenesis of nonmelanoma skin cancer using mesoscopic imaging of pro-inflammation cues.Experimental dermatology · 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
- Non-invasive 3D imaging of human melanocytic lesions by combined ultrasound and photoacoustic tomography: a pilot study.Scientific reports · 2024Article
- Effect of skin color on optical properties and the implications for medical optical technologies: a review.Journal of biomedical optics · 2024Review
- Multispectral Imaging for Skin Diseases Assessment-State of the Art and Perspectives.Sensors (Basel, Switzerland) · 2023Review
- Effects of dimension reduction of hyperspectral images in skin gross pathology.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) · 2023Article
- Design and Validation of a Custom-Made Laboratory Hyperspectral Imaging System for Biomedical Applications Using a Broadband LED Light Source.Sensors (Basel, Switzerland) · 2022Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
significanceSkin cancer is one of the most prevalent cancers worldwide. In the advent of medical digitization and telepathology, hyper/multispectral imaging (HMSI) allows for noninvasive, nonionizing tissue evaluation at a macroscopic level.
aimWe aim to summarize proposed frameworks and recent trends in HMSI-based classification and segmentation of gross-level skin tissue. APPROACH: A systematic review was performed, targeting HMSI-based systems for the classification and segmentation of skin lesions during gross pathology, including melanoma, pigmented lesions, and bruises. The review adhered to the 2020 Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines. For eligible reports published from 2010 to 2020, trends in HMSI acquisition, preprocessing, and analysis were identified.
resultsHMSI-based frameworks for skin tissue classification and segmentation vary greatly. Most reports implemented simple image processing or machine learning, due to small training datasets. Methodologies were evaluated on heavily curated datasets, with the majority targeting melanoma detection. The choice of preprocessing scheme influenced the performance of the system. Some form of dimension reduction is commonly applied to avoid redundancies that are inherent in HMSI systems.
conclusionsTo use HMSI for tumor margin detection in practice, the focus of system evaluation should shift toward the explainability and robustness of the decision-making process.
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